diff --git a/qiita_db/metadata_template/test/test_base_metadata_template.py b/qiita_db/metadata_template/test/test_base_metadata_template.py
index f7af8a588..7b83350c8 100644
--- a/qiita_db/metadata_template/test/test_base_metadata_template.py
+++ b/qiita_db/metadata_template/test/test_base_metadata_template.py
@@ -125,12 +125,13 @@ def test_restrictions(self):
obs = MT.prep_template.PrepTemplate(1).restrictions
exp = {
'target_gene': ['16S rRNA', '18S rRNA', 'ITS1/2', 'LSU'],
- 'platform': ['FASTA', 'Illumina', 'Ion_Torrent', 'LS454',
+ 'platform': ['DNBSEQ', 'FASTA', 'Illumina', 'Ion_Torrent', 'LS454',
'Oxford Nanopore'],
'target_subfragment': ['V3', 'V4', 'V6', 'V9', 'ITS1/2'],
'instrument_model': [
'454 GS', '454 GS 20', '454 GS FLX', '454 GS FLX+',
- '454 GS FLX Titanium', '454 GS Junior',
+ '454 GS FLX Titanium', '454 GS Junior', 'DNBSEQ-G400',
+ 'DNBSEQ-T7', 'DNBSEQ-G800',
'Illumina Genome Analyzer', 'Illumina Genome Analyzer II',
'Illumina Genome Analyzer IIx', 'Illumina HiScanSQ',
'Illumina HiSeq 1000', 'Illumina HiSeq 1500',
diff --git a/qiita_db/support_files/populate_test_db.sql b/qiita_db/support_files/populate_test_db.sql
index 52b282adc..52983faf2 100644
--- a/qiita_db/support_files/populate_test_db.sql
+++ b/qiita_db/support_files/populate_test_db.sql
@@ -1,10 +1,8 @@
--
-- PostgreSQL database dump
--
-
-- Dumped from database version 13.9
-- Dumped by pg_dump version 13.9
-
-- SET statement_timeout = 0;
-- SET lock_timeout = 0;
-- SET idle_in_transaction_session_timeout = 0;
@@ -15,1598 +13,7122 @@
-- SET xmloption = content;
-- SET client_min_messages = warning;
-- SET row_security = off;
-
--
-- Data for Name: severity; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.severity
+VALUES
+ (1, 'Warning');
-INSERT INTO qiita.severity VALUES (1, 'Warning');
-INSERT INTO qiita.severity VALUES (2, 'Runtime');
-INSERT INTO qiita.severity VALUES (3, 'Fatal');
+INSERT INTO
+ qiita.severity
+VALUES
+ (2, 'Runtime');
+INSERT INTO
+ qiita.severity
+VALUES
+ (3, 'Fatal');
--
-- Data for Name: logging; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.logging VALUES (1, '2015-11-22 21:29:30', 2, 'Error message', NULL);
-INSERT INTO qiita.logging VALUES (2, '2015-11-22 21:29:30', 2, 'Error message', '{}');
-
+INSERT INTO
+ qiita.logging
+VALUES
+ (
+ 1,
+ '2015-11-22 21:29:30',
+ 2,
+ 'Error message',
+ NULL
+ );
+
+INSERT INTO
+ qiita.logging
+VALUES
+ (
+ 2,
+ '2015-11-22 21:29:30',
+ 2,
+ 'Error message',
+ '{}'
+ );
--
-- Data for Name: user_level; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.user_level VALUES (2, 'dev', 'Can access all data and info about errors', '--nice=10000');
-INSERT INTO qiita.user_level VALUES (3, 'superuser', 'Can see all studies, can run analyses', '--nice=10000');
-INSERT INTO qiita.user_level VALUES (4, 'user', 'Can see own and public data, can run analyses', '--nice=10000');
-INSERT INTO qiita.user_level VALUES (5, 'unverified', 'Email not verified', '--nice=10000');
-INSERT INTO qiita.user_level VALUES (6, 'guest', 'Can view & download public data', '--nice=10000');
-INSERT INTO qiita.user_level VALUES (1, 'admin', 'Can access and do all the things', '--nice=5000');
-INSERT INTO qiita.user_level VALUES (7, 'wet-lab admin', 'Can access the private jobs', '');
-
+INSERT INTO
+ qiita.user_level
+VALUES
+ (
+ 2,
+ 'dev',
+ 'Can access all data and info about errors',
+ '--nice=10000'
+ );
+
+INSERT INTO
+ qiita.user_level
+VALUES
+ (
+ 3,
+ 'superuser',
+ 'Can see all studies, can run analyses',
+ '--nice=10000'
+ );
+
+INSERT INTO
+ qiita.user_level
+VALUES
+ (
+ 4,
+ 'user',
+ 'Can see own and public data, can run analyses',
+ '--nice=10000'
+ );
+
+INSERT INTO
+ qiita.user_level
+VALUES
+ (
+ 5,
+ 'unverified',
+ 'Email not verified',
+ '--nice=10000'
+ );
+
+INSERT INTO
+ qiita.user_level
+VALUES
+ (
+ 6,
+ 'guest',
+ 'Can view & download public data',
+ '--nice=10000'
+ );
+
+INSERT INTO
+ qiita.user_level
+VALUES
+ (
+ 1,
+ 'admin',
+ 'Can access and do all the things',
+ '--nice=5000'
+ );
+
+INSERT INTO
+ qiita.user_level
+VALUES
+ (
+ 7,
+ 'wet-lab admin',
+ 'Can access the private jobs',
+ ''
+ );
--
-- Data for Name: qiita_user; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.qiita_user VALUES ('test@foo.bar', 4, '$2a$12$gnUi8Qg.0tvW243v889BhOBhWLIHyIJjjgaG6dxuRJkUM8nXG9Efe', 'Dude', 'Nowhere University', '123 fake st, Apt 0, Faketown, CO 80302', '111-222-3344', NULL, NULL, NULL);
-INSERT INTO qiita.qiita_user VALUES ('shared@foo.bar', 4, '$2a$12$gnUi8Qg.0tvW243v889BhOBhWLIHyIJjjgaG6dxuRJkUM8nXG9Efe', 'Shared', 'Nowhere University', '123 fake st, Apt 0, Faketown, CO 80302', '111-222-3344', NULL, NULL, NULL);
-INSERT INTO qiita.qiita_user VALUES ('admin@foo.bar', 1, '$2a$12$gnUi8Qg.0tvW243v889BhOBhWLIHyIJjjgaG6dxuRJkUM8nXG9Efe', 'Admin', 'Owner University', '312 noname st, Apt K, Nonexistantown, CO 80302', '222-444-6789', NULL, NULL, NULL);
-INSERT INTO qiita.qiita_user VALUES ('demo@microbio.me', 4, '$2a$12$gnUi8Qg.0tvW243v889BhOBhWLIHyIJjjgaG6dxuRJkUM8nXG9Efe', 'Demo', 'Qiita Dev', '1345 Colorado Avenue', '303-492-1984', NULL, NULL, NULL);
-
+INSERT INTO
+ qiita.qiita_user
+VALUES
+ (
+ 'test@foo.bar',
+ 4,
+ '$2a$12$gnUi8Qg.0tvW243v889BhOBhWLIHyIJjjgaG6dxuRJkUM8nXG9Efe',
+ 'Dude',
+ 'Nowhere University',
+ '123 fake st, Apt 0, Faketown, CO 80302',
+ '111-222-3344',
+ NULL,
+ NULL,
+ NULL
+ );
+
+INSERT INTO
+ qiita.qiita_user
+VALUES
+ (
+ 'shared@foo.bar',
+ 4,
+ '$2a$12$gnUi8Qg.0tvW243v889BhOBhWLIHyIJjjgaG6dxuRJkUM8nXG9Efe',
+ 'Shared',
+ 'Nowhere University',
+ '123 fake st, Apt 0, Faketown, CO 80302',
+ '111-222-3344',
+ NULL,
+ NULL,
+ NULL
+ );
+
+INSERT INTO
+ qiita.qiita_user
+VALUES
+ (
+ 'admin@foo.bar',
+ 1,
+ '$2a$12$gnUi8Qg.0tvW243v889BhOBhWLIHyIJjjgaG6dxuRJkUM8nXG9Efe',
+ 'Admin',
+ 'Owner University',
+ '312 noname st, Apt K, Nonexistantown, CO 80302',
+ '222-444-6789',
+ NULL,
+ NULL,
+ NULL
+ );
+
+INSERT INTO
+ qiita.qiita_user
+VALUES
+ (
+ 'demo@microbio.me',
+ 4,
+ '$2a$12$gnUi8Qg.0tvW243v889BhOBhWLIHyIJjjgaG6dxuRJkUM8nXG9Efe',
+ 'Demo',
+ 'Qiita Dev',
+ '1345 Colorado Avenue',
+ '303-492-1984',
+ NULL,
+ NULL,
+ NULL
+ );
--
-- Data for Name: analysis; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.analysis VALUES (1, 'test@foo.bar', 'SomeAnalysis', 'A test analysis', '121112', '2018-12-03 13:52:42.751331-07', false, NULL, '');
-INSERT INTO qiita.analysis VALUES (2, 'admin@foo.bar', 'SomeSecondAnalysis', 'Another test analysis', '22221112', '2018-12-03 13:52:42.751331-07', false, NULL, '');
-INSERT INTO qiita.analysis VALUES (3, 'test@foo.bar', 'test@foo.bar-dflt-1', 'dflt', NULL, '2018-12-03 13:52:42.751331-07', true, NULL, '');
-INSERT INTO qiita.analysis VALUES (4, 'admin@foo.bar', 'admin@foo.bar-dflt-1', 'dflt', NULL, '2018-12-03 13:52:42.751331-07', true, NULL, '');
-INSERT INTO qiita.analysis VALUES (5, 'shared@foo.bar', 'shared@foo.bar-dflt-1', 'dflt', NULL, '2018-12-03 13:52:42.751331-07', true, NULL, '');
-INSERT INTO qiita.analysis VALUES (6, 'demo@microbio.me', 'demo@microbio.me-dflt-1', 'dflt', NULL, '2018-12-03 13:52:42.751331-07', true, NULL, '');
-INSERT INTO qiita.analysis VALUES (7, 'test@foo.bar', 'test@foo.bar-dflt-2', 'dflt', NULL, '2018-12-03 13:52:42.751331-07', true, NULL, '');
-INSERT INTO qiita.analysis VALUES (8, 'admin@foo.bar', 'admin@foo.bar-dflt-2', 'dflt', NULL, '2018-12-03 13:52:42.751331-07', true, NULL, '');
-INSERT INTO qiita.analysis VALUES (9, 'shared@foo.bar', 'shared@foo.bar-dflt-2', 'dflt', NULL, '2018-12-03 13:52:42.751331-07', true, NULL, '');
-INSERT INTO qiita.analysis VALUES (10, 'demo@microbio.me', 'demo@microbio.me-dflt-2', 'dflt', NULL, '2018-12-03 13:52:42.751331-07', true, NULL, '');
-
+INSERT INTO
+ qiita.analysis
+VALUES
+ (
+ 1,
+ 'test@foo.bar',
+ 'SomeAnalysis',
+ 'A test analysis',
+ '121112',
+ '2018-12-03 13:52:42.751331-07',
+ false,
+ NULL,
+ ''
+ );
+
+INSERT INTO
+ qiita.analysis
+VALUES
+ (
+ 2,
+ 'admin@foo.bar',
+ 'SomeSecondAnalysis',
+ 'Another test analysis',
+ '22221112',
+ '2018-12-03 13:52:42.751331-07',
+ false,
+ NULL,
+ ''
+ );
+
+INSERT INTO
+ qiita.analysis
+VALUES
+ (
+ 3,
+ 'test@foo.bar',
+ 'test@foo.bar-dflt-1',
+ 'dflt',
+ NULL,
+ '2018-12-03 13:52:42.751331-07',
+ true,
+ NULL,
+ ''
+ );
+
+INSERT INTO
+ qiita.analysis
+VALUES
+ (
+ 4,
+ 'admin@foo.bar',
+ 'admin@foo.bar-dflt-1',
+ 'dflt',
+ NULL,
+ '2018-12-03 13:52:42.751331-07',
+ true,
+ NULL,
+ ''
+ );
+
+INSERT INTO
+ qiita.analysis
+VALUES
+ (
+ 5,
+ 'shared@foo.bar',
+ 'shared@foo.bar-dflt-1',
+ 'dflt',
+ NULL,
+ '2018-12-03 13:52:42.751331-07',
+ true,
+ NULL,
+ ''
+ );
+
+INSERT INTO
+ qiita.analysis
+VALUES
+ (
+ 6,
+ 'demo@microbio.me',
+ 'demo@microbio.me-dflt-1',
+ 'dflt',
+ NULL,
+ '2018-12-03 13:52:42.751331-07',
+ true,
+ NULL,
+ ''
+ );
+
+INSERT INTO
+ qiita.analysis
+VALUES
+ (
+ 7,
+ 'test@foo.bar',
+ 'test@foo.bar-dflt-2',
+ 'dflt',
+ NULL,
+ '2018-12-03 13:52:42.751331-07',
+ true,
+ NULL,
+ ''
+ );
+
+INSERT INTO
+ qiita.analysis
+VALUES
+ (
+ 8,
+ 'admin@foo.bar',
+ 'admin@foo.bar-dflt-2',
+ 'dflt',
+ NULL,
+ '2018-12-03 13:52:42.751331-07',
+ true,
+ NULL,
+ ''
+ );
+
+INSERT INTO
+ qiita.analysis
+VALUES
+ (
+ 9,
+ 'shared@foo.bar',
+ 'shared@foo.bar-dflt-2',
+ 'dflt',
+ NULL,
+ '2018-12-03 13:52:42.751331-07',
+ true,
+ NULL,
+ ''
+ );
+
+INSERT INTO
+ qiita.analysis
+VALUES
+ (
+ 10,
+ 'demo@microbio.me',
+ 'demo@microbio.me-dflt-2',
+ 'dflt',
+ NULL,
+ '2018-12-03 13:52:42.751331-07',
+ true,
+ NULL,
+ ''
+ );
--
-- Data for Name: artifact_type; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.artifact_type VALUES (1, 'SFF', NULL, false, false, false);
-INSERT INTO qiita.artifact_type VALUES (4, 'FASTA', NULL, false, false, false);
-INSERT INTO qiita.artifact_type VALUES (2, 'FASTA_Sanger', NULL, false, false, false);
-INSERT INTO qiita.artifact_type VALUES (6, 'Demultiplexed', 'Demultiplexed and QC sequences', true, true, false);
-INSERT INTO qiita.artifact_type VALUES (8, 'beta_div_plots', 'Qiime 1 beta diversity results', false, false, false);
-INSERT INTO qiita.artifact_type VALUES (9, 'rarefaction_curves', 'Rarefaction curves', false, false, false);
-INSERT INTO qiita.artifact_type VALUES (10, 'taxa_summary', 'Taxa summary plots', false, false, false);
-INSERT INTO qiita.artifact_type VALUES (3, 'FASTQ', NULL, false, false, true);
-INSERT INTO qiita.artifact_type VALUES (5, 'per_sample_FASTQ', NULL, true, false, true);
-INSERT INTO qiita.artifact_type VALUES (7, 'BIOM', 'BIOM table', false, false, true);
-
-
+INSERT INTO
+ qiita.artifact_type
+VALUES
+ (1, 'SFF', NULL, false, false, false);
+
+INSERT INTO
+ qiita.artifact_type
+VALUES
+ (4, 'FASTA', NULL, false, false, false);
+
+INSERT INTO
+ qiita.artifact_type
+VALUES
+ (2, 'FASTA_Sanger', NULL, false, false, false);
+
+INSERT INTO
+ qiita.artifact_type
+VALUES
+ (
+ 6,
+ 'Demultiplexed',
+ 'Demultiplexed and QC sequences',
+ true,
+ true,
+ false
+ );
+
+INSERT INTO
+ qiita.artifact_type
+VALUES
+ (
+ 8,
+ 'beta_div_plots',
+ 'Qiime 1 beta diversity results',
+ false,
+ false,
+ false
+ );
+
+INSERT INTO
+ qiita.artifact_type
+VALUES
+ (
+ 9,
+ 'rarefaction_curves',
+ 'Rarefaction curves',
+ false,
+ false,
+ false
+ );
+
+INSERT INTO
+ qiita.artifact_type
+VALUES
+ (
+ 10,
+ 'taxa_summary',
+ 'Taxa summary plots',
+ false,
+ false,
+ false
+ );
+
+INSERT INTO
+ qiita.artifact_type
+VALUES
+ (3, 'FASTQ', NULL, false, false, true);
+
+INSERT INTO
+ qiita.artifact_type
+VALUES
+ (5, 'per_sample_FASTQ', NULL, true, false, true);
+
+INSERT INTO
+ qiita.artifact_type
+VALUES
+ (7, 'BIOM', 'BIOM table', false, false, true);
--
-- Data for Name: data_type; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.data_type VALUES (1, '16S');
-INSERT INTO qiita.data_type VALUES (2, '18S');
-INSERT INTO qiita.data_type VALUES (3, 'ITS');
-INSERT INTO qiita.data_type VALUES (4, 'Proteomic');
-INSERT INTO qiita.data_type VALUES (5, 'Metabolomic');
-INSERT INTO qiita.data_type VALUES (6, 'Metagenomic');
-INSERT INTO qiita.data_type VALUES (7, 'Multiomic');
-INSERT INTO qiita.data_type VALUES (8, 'Metatranscriptomics');
-INSERT INTO qiita.data_type VALUES (9, 'Viromics');
-INSERT INTO qiita.data_type VALUES (10, 'Genomics');
-INSERT INTO qiita.data_type VALUES (11, 'Transcriptomics');
-INSERT INTO qiita.data_type VALUES (12, 'Job Output Folder');
-
+INSERT INTO
+ qiita.data_type
+VALUES
+ (1, '16S');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (2, '18S');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (3, 'ITS');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (4, 'Proteomic');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (5, 'Metabolomic');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (6, 'Metagenomic');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (7, 'Multiomic');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (8, 'Metatranscriptomics');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (9, 'Viromics');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (10, 'Genomics');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (11, 'Transcriptomics');
+
+INSERT INTO
+ qiita.data_type
+VALUES
+ (12, 'Job Output Folder');
--
-- Data for Name: software_type; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.software_type VALUES (1, 'artifact transformation', 'A plugin that performs some kind of processing/transformation/manipulation over an artifact.');
-INSERT INTO qiita.software_type VALUES (2, 'artifact definition', 'A plugin that defines new artifact types.');
-INSERT INTO qiita.software_type VALUES (3, 'private', 'Internal Qiita jobs');
-
+INSERT INTO
+ qiita.software_type
+VALUES
+ (
+ 1,
+ 'artifact transformation',
+ 'A plugin that performs some kind of processing/transformation/manipulation over an artifact.'
+ );
+
+INSERT INTO
+ qiita.software_type
+VALUES
+ (
+ 2,
+ 'artifact definition',
+ 'A plugin that defines new artifact types.'
+ );
+
+INSERT INTO
+ qiita.software_type
+VALUES
+ (3, 'private', 'Internal Qiita jobs');
--
-- Data for Name: software; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.software VALUES (2, 'BIOM type', '2.1.4 - Qiime2', 'The Biological Observation Matrix format', 'source ~/virtualenv/python2.7/bin/activate; export PATH=$HOME/miniconda3/bin/:$PATH; . activate qtp-biom', 'start_biom', 2, false, false);
-INSERT INTO qiita.software VALUES (3, 'Target Gene type', '0.1.0', 'Target gene artifact types plugin', 'source ~/virtualenv/python2.7/bin/activate; export PATH=$HOME/miniconda3/bin/:$PATH; source activate qiita', 'start_target_gene_types', 2, false, false);
-INSERT INTO qiita.software VALUES (4, 'Qiita', 'alpha', 'Internal Qiita jobs', 'source /home/runner/.profile; conda activate qiita', 'qiita-private-plugin', 3, true, false);
-INSERT INTO qiita.software VALUES (1, 'QIIMEq2', '1.9.1', 'Quantitative Insights Into Microbial Ecology (QIIME) is an open-source bioinformatics pipeline for performing microbiome analysis from raw DNA sequencing data', 'source activate qiita', 'start_target_gene', 1, false, false);
-
+INSERT INTO
+ qiita.software
+VALUES
+ (
+ 2,
+ 'BIOM type',
+ '2.1.4 - Qiime2',
+ 'The Biological Observation Matrix format',
+ 'source ~/virtualenv/python2.7/bin/activate; export PATH=$HOME/miniconda3/bin/:$PATH; . activate qtp-biom',
+ 'start_biom',
+ 2,
+ false,
+ false
+ );
+
+INSERT INTO
+ qiita.software
+VALUES
+ (
+ 3,
+ 'Target Gene type',
+ '0.1.0',
+ 'Target gene artifact types plugin',
+ 'source ~/virtualenv/python2.7/bin/activate; export PATH=$HOME/miniconda3/bin/:$PATH; source activate qiita',
+ 'start_target_gene_types',
+ 2,
+ false,
+ false
+ );
+
+INSERT INTO
+ qiita.software
+VALUES
+ (
+ 4,
+ 'Qiita',
+ 'alpha',
+ 'Internal Qiita jobs',
+ 'source /home/runner/.profile; conda activate qiita',
+ 'qiita-private-plugin',
+ 3,
+ true,
+ false
+ );
+
+INSERT INTO
+ qiita.software
+VALUES
+ (
+ 1,
+ 'QIIMEq2',
+ '1.9.1',
+ 'Quantitative Insights Into Microbial Ecology (QIIME) is an open-source bioinformatics pipeline for performing microbiome analysis from raw DNA sequencing data',
+ 'source activate qiita',
+ 'start_target_gene',
+ 1,
+ false,
+ false
+ );
--
-- Data for Name: software_command; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.software_command VALUES (1, 'Split libraries FASTQ', 1, 'Demultiplexes and applies quality control to FASTQ data', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (2, 'Split libraries', 1, 'Demultiplexes and applies quality control to FASTA data', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (3, 'Pick closed-reference OTUs', 1, 'OTU picking using a closed reference approach', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (4, 'Validate', 2, 'Validates a new artifact of type BIOM', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (5, 'Generate HTML summary', 2, 'Generates the HTML summary of a BIOM artifact', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (6, 'Validate', 3, 'Validates a new artifact of the given target gene type', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (7, 'Generate HTML summary', 3, 'Generates the HTML summary of a given target gene type artifact', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (8, 'build_analysis_files', 4, 'Builds the files needed for the analysis', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (9, 'Summarize Taxa', 1, 'Plots taxonomy summaries at different taxonomy levels', true, true, false, NULL);
-INSERT INTO qiita.software_command VALUES (10, 'Beta Diversity', 1, 'Computes and plots beta diversity results', true, true, false, NULL);
-INSERT INTO qiita.software_command VALUES (11, 'Alpha Rarefaction', 1, 'Computes and plots alpha rarefaction results', true, true, false, NULL);
-INSERT INTO qiita.software_command VALUES (12, 'Single Rarefaction', 1, 'Rarefies the input table by random sampling without replacement', true, true, false, NULL);
-INSERT INTO qiita.software_command VALUES (13, 'release_validators', 4, 'Releases the job validators', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (14, 'submit_to_VAMPS', 4, 'submits an artifact to VAMPS', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (15, 'copy_artifact', 4, 'Creates a copy of an artifact', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (16, 'submit_to_EBI', 4, 'submits an artifact to EBI', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (17, 'delete_artifact', 4, 'Delete an artifact', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (18, 'create_sample_template', 4, 'Create a sample template', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (19, 'update_sample_template', 4, 'Updates the sample template', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (20, 'delete_study', 4, 'Deletes a full study', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (21, 'delete_sample_template', 4, 'Deletes a sample template', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (22, 'update_prep_template', 4, 'Updates the prep template', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (23, 'delete_sample_or_column', 4, 'Deletes a sample or a columns from the metadata', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (24, 'complete_job', 4, 'Completes a given job', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (25, 'delete_analysis', 4, 'Deletes a full analysis', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (26, 'list_remote_files', 4, 'retrieves list of valid study files from remote dir', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (27, 'download_remote_files', 4, 'downloads valid study files from remote dir', true, false, false, NULL);
-INSERT INTO qiita.software_command VALUES (28, 'INSDC_download', 4, 'Downloads an accession from a given INSDC', true, false, false, NULL);
-
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 1,
+ 'Split libraries FASTQ',
+ 1,
+ 'Demultiplexes and applies quality control to FASTQ data',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 2,
+ 'Split libraries',
+ 1,
+ 'Demultiplexes and applies quality control to FASTA data',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 3,
+ 'Pick closed-reference OTUs',
+ 1,
+ 'OTU picking using a closed reference approach',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 4,
+ 'Validate',
+ 2,
+ 'Validates a new artifact of type BIOM',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 5,
+ 'Generate HTML summary',
+ 2,
+ 'Generates the HTML summary of a BIOM artifact',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 6,
+ 'Validate',
+ 3,
+ 'Validates a new artifact of the given target gene type',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 7,
+ 'Generate HTML summary',
+ 3,
+ 'Generates the HTML summary of a given target gene type artifact',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 8,
+ 'build_analysis_files',
+ 4,
+ 'Builds the files needed for the analysis',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 9,
+ 'Summarize Taxa',
+ 1,
+ 'Plots taxonomy summaries at different taxonomy levels',
+ true,
+ true,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 10,
+ 'Beta Diversity',
+ 1,
+ 'Computes and plots beta diversity results',
+ true,
+ true,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 11,
+ 'Alpha Rarefaction',
+ 1,
+ 'Computes and plots alpha rarefaction results',
+ true,
+ true,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 12,
+ 'Single Rarefaction',
+ 1,
+ 'Rarefies the input table by random sampling without replacement',
+ true,
+ true,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 13,
+ 'release_validators',
+ 4,
+ 'Releases the job validators',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 14,
+ 'submit_to_VAMPS',
+ 4,
+ 'submits an artifact to VAMPS',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 15,
+ 'copy_artifact',
+ 4,
+ 'Creates a copy of an artifact',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 16,
+ 'submit_to_EBI',
+ 4,
+ 'submits an artifact to EBI',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 17,
+ 'delete_artifact',
+ 4,
+ 'Delete an artifact',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 18,
+ 'create_sample_template',
+ 4,
+ 'Create a sample template',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 19,
+ 'update_sample_template',
+ 4,
+ 'Updates the sample template',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 20,
+ 'delete_study',
+ 4,
+ 'Deletes a full study',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 21,
+ 'delete_sample_template',
+ 4,
+ 'Deletes a sample template',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 22,
+ 'update_prep_template',
+ 4,
+ 'Updates the prep template',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 23,
+ 'delete_sample_or_column',
+ 4,
+ 'Deletes a sample or a columns from the metadata',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 24,
+ 'complete_job',
+ 4,
+ 'Completes a given job',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 25,
+ 'delete_analysis',
+ 4,
+ 'Deletes a full analysis',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 26,
+ 'list_remote_files',
+ 4,
+ 'retrieves list of valid study files from remote dir',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 27,
+ 'download_remote_files',
+ 4,
+ 'downloads valid study files from remote dir',
+ true,
+ false,
+ false,
+ NULL
+ );
+
+INSERT INTO
+ qiita.software_command
+VALUES
+ (
+ 28,
+ 'INSDC_download',
+ 4,
+ 'Downloads an accession from a given INSDC',
+ true,
+ false,
+ false,
+ NULL
+ );
--
-- Data for Name: visibility; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.visibility VALUES (1, 'awaiting_approval', 'Awaiting approval of metadata');
-INSERT INTO qiita.visibility VALUES (4, 'sandbox', 'Only available to the owner. No sharing');
-INSERT INTO qiita.visibility VALUES (3, 'private', 'Only visible to the owner and shared users');
-INSERT INTO qiita.visibility VALUES (2, 'public', 'Visible to everybody');
-INSERT INTO qiita.visibility VALUES (5, 'archived', 'Archived artifact');
-
+INSERT INTO
+ qiita.visibility
+VALUES
+ (
+ 1,
+ 'awaiting_approval',
+ 'Awaiting approval of metadata'
+ );
+
+INSERT INTO
+ qiita.visibility
+VALUES
+ (
+ 4,
+ 'sandbox',
+ 'Only available to the owner. No sharing'
+ );
+
+INSERT INTO
+ qiita.visibility
+VALUES
+ (
+ 3,
+ 'private',
+ 'Only visible to the owner and shared users'
+ );
+
+INSERT INTO
+ qiita.visibility
+VALUES
+ (2, 'public', 'Visible to everybody');
+
+INSERT INTO
+ qiita.visibility
+VALUES
+ (5, 'archived', 'Archived artifact');
--
-- Data for Name: artifact; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.artifact VALUES (1, '2012-10-01 09:30:27', NULL, NULL, 3, 3, 2, false, 'Raw data 1', NULL);
-INSERT INTO qiita.artifact VALUES (2, '2012-10-01 10:30:27', 1, '{"max_barcode_errors": "1.5", "max_bad_run_length": "3", "phred_offset": "auto", "rev_comp": "False", "phred_quality_threshold": "3", "input_data": "1", "rev_comp_barcode": "False", "sequence_max_n": "0", "rev_comp_mapping_barcodes": "False", "min_per_read_length_fraction": "0.75", "barcode_type": "golay_12"}', 3, 6, 2, false, 'Demultiplexed 1', NULL);
-INSERT INTO qiita.artifact VALUES (3, '2012-10-01 11:30:27', 1, '{"max_barcode_errors": "1.5", "max_bad_run_length": "3", "phred_offset": "auto", "rev_comp": "False", "phred_quality_threshold": "3", "input_data": "1", "rev_comp_barcode": "False", "sequence_max_n": "0", "rev_comp_mapping_barcodes": "True", "min_per_read_length_fraction": "0.75", "barcode_type": "golay_12"}', 3, 6, 2, false, 'Demultiplexed 2', NULL);
-INSERT INTO qiita.artifact VALUES (4, '2012-10-02 17:30:00', 3, '{"reference": "1", "similarity": "0.97", "sortmerna_e_value": "1", "sortmerna_max_pos": "10000", "input_data": "2", "threads": "1", "sortmerna_coverage": "0.97"}', 3, 7, 2, false, 'BIOM', NULL);
-INSERT INTO qiita.artifact VALUES (5, '2012-10-02 17:30:00', 3, '{"reference": "1", "similarity": "0.97", "sortmerna_e_value": "1", "sortmerna_max_pos": "10000", "input_data": "2", "threads": "1", "sortmerna_coverage": "0.97"}', 3, 7, 2, false, 'BIOM', NULL);
-INSERT INTO qiita.artifact VALUES (6, '2012-10-02 17:30:00', 3, '{"reference": "2", "similarity": "0.97", "sortmerna_e_value": "1", "sortmerna_max_pos": "10000", "input_data": "2", "threads": "1", "sortmerna_coverage": "0.97"}', 3, 7, 1, false, 'BIOM', NULL);
-INSERT INTO qiita.artifact VALUES (7, '2012-10-02 17:30:00', NULL, NULL, 3, 7, 1, false, 'BIOM', NULL);
-INSERT INTO qiita.artifact VALUES (8, '2018-12-03 14:06:45.117389', NULL, NULL, 4, 7, 2, false, 'noname', NULL);
-INSERT INTO qiita.artifact VALUES (9, '2018-12-03 14:06:45.117389', 12, '{"biom_table": "8", "depth": "9000", "subsample_multinomial": "False"}', 4, 7, 2, false, 'noname', NULL);
-
+INSERT INTO
+ qiita.artifact
+VALUES
+ (
+ 1,
+ '2012-10-01 09:30:27',
+ NULL,
+ NULL,
+ 3,
+ 3,
+ 2,
+ false,
+ 'Raw data 1',
+ NULL
+ );
+
+INSERT INTO
+ qiita.artifact
+VALUES
+ (
+ 2,
+ '2012-10-01 10:30:27',
+ 1,
+ '{"max_barcode_errors": "1.5", "max_bad_run_length": "3", "phred_offset": "auto", "rev_comp": "False", "phred_quality_threshold": "3", "input_data": "1", "rev_comp_barcode": "False", "sequence_max_n": "0", "rev_comp_mapping_barcodes": "False", "min_per_read_length_fraction": "0.75", "barcode_type": "golay_12"}',
+ 3,
+ 6,
+ 2,
+ false,
+ 'Demultiplexed 1',
+ NULL
+ );
+
+INSERT INTO
+ qiita.artifact
+VALUES
+ (
+ 3,
+ '2012-10-01 11:30:27',
+ 1,
+ '{"max_barcode_errors": "1.5", "max_bad_run_length": "3", "phred_offset": "auto", "rev_comp": "False", "phred_quality_threshold": "3", "input_data": "1", "rev_comp_barcode": "False", "sequence_max_n": "0", "rev_comp_mapping_barcodes": "True", "min_per_read_length_fraction": "0.75", "barcode_type": "golay_12"}',
+ 3,
+ 6,
+ 2,
+ false,
+ 'Demultiplexed 2',
+ NULL
+ );
+
+INSERT INTO
+ qiita.artifact
+VALUES
+ (
+ 4,
+ '2012-10-02 17:30:00',
+ 3,
+ '{"reference": "1", "similarity": "0.97", "sortmerna_e_value": "1", "sortmerna_max_pos": "10000", "input_data": "2", "threads": "1", "sortmerna_coverage": "0.97"}',
+ 3,
+ 7,
+ 2,
+ false,
+ 'BIOM',
+ NULL
+ );
+
+INSERT INTO
+ qiita.artifact
+VALUES
+ (
+ 5,
+ '2012-10-02 17:30:00',
+ 3,
+ '{"reference": "1", "similarity": "0.97", "sortmerna_e_value": "1", "sortmerna_max_pos": "10000", "input_data": "2", "threads": "1", "sortmerna_coverage": "0.97"}',
+ 3,
+ 7,
+ 2,
+ false,
+ 'BIOM',
+ NULL
+ );
+
+INSERT INTO
+ qiita.artifact
+VALUES
+ (
+ 6,
+ '2012-10-02 17:30:00',
+ 3,
+ '{"reference": "2", "similarity": "0.97", "sortmerna_e_value": "1", "sortmerna_max_pos": "10000", "input_data": "2", "threads": "1", "sortmerna_coverage": "0.97"}',
+ 3,
+ 7,
+ 1,
+ false,
+ 'BIOM',
+ NULL
+ );
+
+INSERT INTO
+ qiita.artifact
+VALUES
+ (
+ 7,
+ '2012-10-02 17:30:00',
+ NULL,
+ NULL,
+ 3,
+ 7,
+ 1,
+ false,
+ 'BIOM',
+ NULL
+ );
+
+INSERT INTO
+ qiita.artifact
+VALUES
+ (
+ 8,
+ '2018-12-03 14:06:45.117389',
+ NULL,
+ NULL,
+ 4,
+ 7,
+ 2,
+ false,
+ 'noname',
+ NULL
+ );
+
+INSERT INTO
+ qiita.artifact
+VALUES
+ (
+ 9,
+ '2018-12-03 14:06:45.117389',
+ 12,
+ '{"biom_table": "8", "depth": "9000", "subsample_multinomial": "False"}',
+ 4,
+ 7,
+ 2,
+ false,
+ 'noname',
+ NULL
+ );
--
-- Data for Name: analysis_artifact; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.analysis_artifact
+VALUES
+ (1, 8);
-INSERT INTO qiita.analysis_artifact VALUES (1, 8);
-INSERT INTO qiita.analysis_artifact VALUES (1, 9);
-
+INSERT INTO
+ qiita.analysis_artifact
+VALUES
+ (1, 9);
--
-- Data for Name: checksum_algorithm; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.checksum_algorithm VALUES (1, 'crc32');
-
+INSERT INTO
+ qiita.checksum_algorithm
+VALUES
+ (1, 'crc32');
--
-- Data for Name: data_directory; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.data_directory VALUES (1, 'analysis', 'analysis', false, true);
-INSERT INTO qiita.data_directory VALUES (2, 'job', 'job', false, true);
-INSERT INTO qiita.data_directory VALUES (3, 'preprocessed_data', 'preprocessed_data', false, true);
-INSERT INTO qiita.data_directory VALUES (4, 'processed_data', 'processed_data', false, true);
-INSERT INTO qiita.data_directory VALUES (5, 'raw_data', 'raw_data', false, true);
-INSERT INTO qiita.data_directory VALUES (6, 'reference', 'reference', false, true);
-INSERT INTO qiita.data_directory VALUES (7, 'uploads', 'uploads', false, true);
-INSERT INTO qiita.data_directory VALUES (8, 'working_dir', 'working_dir', false, true);
-INSERT INTO qiita.data_directory VALUES (9, 'templates', 'templates', false, true);
-INSERT INTO qiita.data_directory VALUES (10, 'SFF', 'SFF', true, true);
-INSERT INTO qiita.data_directory VALUES (11, 'FASTQ', 'FASTQ', true, true);
-INSERT INTO qiita.data_directory VALUES (12, 'FASTA', 'FASTA', true, true);
-INSERT INTO qiita.data_directory VALUES (13, 'FASTA_Sanger', 'FASTA_Sanger', true, true);
-INSERT INTO qiita.data_directory VALUES (14, 'per_sample_FASTQ', 'per_sample_FASTQ', true, true);
-INSERT INTO qiita.data_directory VALUES (15, 'Demultiplexed', 'Demultiplexed', true, true);
-INSERT INTO qiita.data_directory VALUES (16, 'BIOM', 'BIOM', true, true);
-
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (1, 'analysis', 'analysis', false, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (2, 'job', 'job', false, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (
+ 3,
+ 'preprocessed_data',
+ 'preprocessed_data',
+ false,
+ true
+ );
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (
+ 4,
+ 'processed_data',
+ 'processed_data',
+ false,
+ true
+ );
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (5, 'raw_data', 'raw_data', false, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (6, 'reference', 'reference', false, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (7, 'uploads', 'uploads', false, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (8, 'working_dir', 'working_dir', false, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (9, 'templates', 'templates', false, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (10, 'SFF', 'SFF', true, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (11, 'FASTQ', 'FASTQ', true, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (12, 'FASTA', 'FASTA', true, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (13, 'FASTA_Sanger', 'FASTA_Sanger', true, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (
+ 14,
+ 'per_sample_FASTQ',
+ 'per_sample_FASTQ',
+ true,
+ true
+ );
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (15, 'Demultiplexed', 'Demultiplexed', true, true);
+
+INSERT INTO
+ qiita.data_directory
+VALUES
+ (16, 'BIOM', 'BIOM', true, true);
--
-- Data for Name: filepath_type; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.filepath_type VALUES (1, 'raw_forward_seqs');
-INSERT INTO qiita.filepath_type VALUES (2, 'raw_reverse_seqs');
-INSERT INTO qiita.filepath_type VALUES (3, 'raw_barcodes');
-INSERT INTO qiita.filepath_type VALUES (4, 'preprocessed_fasta');
-INSERT INTO qiita.filepath_type VALUES (5, 'preprocessed_fastq');
-INSERT INTO qiita.filepath_type VALUES (6, 'preprocessed_demux');
-INSERT INTO qiita.filepath_type VALUES (7, 'biom');
-INSERT INTO qiita.filepath_type VALUES (8, 'directory');
-INSERT INTO qiita.filepath_type VALUES (9, 'plain_text');
-INSERT INTO qiita.filepath_type VALUES (10, 'reference_seqs');
-INSERT INTO qiita.filepath_type VALUES (11, 'reference_tax');
-INSERT INTO qiita.filepath_type VALUES (12, 'reference_tree');
-INSERT INTO qiita.filepath_type VALUES (13, 'log');
-INSERT INTO qiita.filepath_type VALUES (14, 'sample_template');
-INSERT INTO qiita.filepath_type VALUES (15, 'prep_template');
-INSERT INTO qiita.filepath_type VALUES (16, 'qiime_map');
-INSERT INTO qiita.filepath_type VALUES (17, 'raw_sff');
-INSERT INTO qiita.filepath_type VALUES (18, 'raw_fasta');
-INSERT INTO qiita.filepath_type VALUES (19, 'raw_qual');
-INSERT INTO qiita.filepath_type VALUES (20, 'html_summary');
-INSERT INTO qiita.filepath_type VALUES (21, 'tgz');
-INSERT INTO qiita.filepath_type VALUES (22, 'html_summary_dir');
-INSERT INTO qiita.filepath_type VALUES (23, 'qzv');
-INSERT INTO qiita.filepath_type VALUES (24, 'qza');
-INSERT INTO qiita.filepath_type VALUES (25, 'bam');
-
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (1, 'raw_forward_seqs');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (2, 'raw_reverse_seqs');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (3, 'raw_barcodes');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (4, 'preprocessed_fasta');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (5, 'preprocessed_fastq');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (6, 'preprocessed_demux');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (7, 'biom');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (8, 'directory');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (9, 'plain_text');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (10, 'reference_seqs');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (11, 'reference_tax');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (12, 'reference_tree');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (13, 'log');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (14, 'sample_template');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (15, 'prep_template');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (16, 'qiime_map');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (17, 'raw_sff');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (18, 'raw_fasta');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (19, 'raw_qual');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (20, 'html_summary');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (21, 'tgz');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (22, 'html_summary_dir');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (23, 'qzv');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (24, 'qza');
+
+INSERT INTO
+ qiita.filepath_type
+VALUES
+ (25, 'bam');
--
-- Data for Name: filepath; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.filepath VALUES (1, '1_s_G1_L001_sequences.fastq.gz', 1, '2125826711', 1, 5, 58);
-INSERT INTO qiita.filepath VALUES (2, '1_s_G1_L001_sequences_barcodes.fastq.gz', 3, '2125826711', 1, 5, 58);
-INSERT INTO qiita.filepath VALUES (3, '1_seqs.fna', 4, '', 1, 3, 0);
-INSERT INTO qiita.filepath VALUES (4, '1_seqs.qual', 5, '', 1, 3, 0);
-INSERT INTO qiita.filepath VALUES (5, '1_seqs.demux', 6, '', 1, 3, 0);
-INSERT INTO qiita.filepath VALUES (6, 'GreenGenes_13_8_97_otus.fasta', 10, '852952723', 1, 6, 1);
-INSERT INTO qiita.filepath VALUES (7, 'GreenGenes_13_8_97_otu_taxonomy.txt', 11, '852952723', 1, 6, 1);
-INSERT INTO qiita.filepath VALUES (8, 'GreenGenes_13_8_97_otus.tree', 12, '852952723', 1, 6, 1);
-INSERT INTO qiita.filepath VALUES (9, '1_study_1001_closed_reference_otu_table.biom', 7, '1579715020', 1, 4, 1256812);
-INSERT INTO qiita.filepath VALUES (10, 'Silva_97_otus.fasta', 10, '', 1, 6, 0);
-INSERT INTO qiita.filepath VALUES (11, 'Silva_97_otu_taxonomy.txt', 11, '', 1, 6, 0);
-INSERT INTO qiita.filepath VALUES (12, '1_study_1001_closed_reference_otu_table_Silva.biom', 7, '1579715020', 1, 4, 1256812);
-INSERT INTO qiita.filepath VALUES (13, '1_job_result.txt', 9, '0', 1, 2, 0);
-INSERT INTO qiita.filepath VALUES (14, '2_test_folder', 8, '', 1, 2, 0);
-INSERT INTO qiita.filepath VALUES (15, '1_analysis_18S.biom', 7, '1756512010', 1, 1, 1093210);
-INSERT INTO qiita.filepath VALUES (16, '1_analysis_mapping.txt', 9, '291340704', 1, 1, 7813);
-INSERT INTO qiita.filepath VALUES (17, '1_19700101-000000.txt', 14, '1486964984', 1, 9, 10309);
-INSERT INTO qiita.filepath VALUES (18, '1_prep_1_19700101-000000.txt', 15, '3703494589', 1, 9, 26051);
-INSERT INTO qiita.filepath VALUES (19, '1_prep_1_qiime_19700101-000000.txt', 16, '3053485441', 1, 9, 36780);
-INSERT INTO qiita.filepath VALUES (20, '1_prep_1_19700101-000000.txt', 15, '3703494589', 1, 9, 26051);
-INSERT INTO qiita.filepath VALUES (21, '1_prep_1_qiime_19700101-000000.txt', 16, '3053485441', 1, 9, 36780);
-INSERT INTO qiita.filepath VALUES (22, 'biom_table.biom', 7, '1756512010', 1, 16, 1093210);
-
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 1,
+ '1_s_G1_L001_sequences.fastq.gz',
+ 1,
+ '2125826711',
+ 1,
+ 5,
+ 58
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 2,
+ '1_s_G1_L001_sequences_barcodes.fastq.gz',
+ 3,
+ '2125826711',
+ 1,
+ 5,
+ 58
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (3, '1_seqs.fna', 4, '', 1, 3, 0);
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (4, '1_seqs.qual', 5, '', 1, 3, 0);
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (5, '1_seqs.demux', 6, '', 1, 3, 0);
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 6,
+ 'GreenGenes_13_8_97_otus.fasta',
+ 10,
+ '852952723',
+ 1,
+ 6,
+ 1
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 7,
+ 'GreenGenes_13_8_97_otu_taxonomy.txt',
+ 11,
+ '852952723',
+ 1,
+ 6,
+ 1
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 8,
+ 'GreenGenes_13_8_97_otus.tree',
+ 12,
+ '852952723',
+ 1,
+ 6,
+ 1
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 9,
+ '1_study_1001_closed_reference_otu_table.biom',
+ 7,
+ '1579715020',
+ 1,
+ 4,
+ 1256812
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (10, 'Silva_97_otus.fasta', 10, '', 1, 6, 0);
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (11, 'Silva_97_otu_taxonomy.txt', 11, '', 1, 6, 0);
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 12,
+ '1_study_1001_closed_reference_otu_table_Silva.biom',
+ 7,
+ '1579715020',
+ 1,
+ 4,
+ 1256812
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (13, '1_job_result.txt', 9, '0', 1, 2, 0);
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (14, '2_test_folder', 8, '', 1, 2, 0);
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 15,
+ '1_analysis_18S.biom',
+ 7,
+ '1756512010',
+ 1,
+ 1,
+ 1093210
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 16,
+ '1_analysis_mapping.txt',
+ 9,
+ '291340704',
+ 1,
+ 1,
+ 7813
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 17,
+ '1_19700101-000000.txt',
+ 14,
+ '1486964984',
+ 1,
+ 9,
+ 10309
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 18,
+ '1_prep_1_19700101-000000.txt',
+ 15,
+ '3703494589',
+ 1,
+ 9,
+ 26051
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 19,
+ '1_prep_1_qiime_19700101-000000.txt',
+ 16,
+ '3053485441',
+ 1,
+ 9,
+ 36780
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 20,
+ '1_prep_1_19700101-000000.txt',
+ 15,
+ '3703494589',
+ 1,
+ 9,
+ 26051
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 21,
+ '1_prep_1_qiime_19700101-000000.txt',
+ 16,
+ '3053485441',
+ 1,
+ 9,
+ 36780
+ );
+
+INSERT INTO
+ qiita.filepath
+VALUES
+ (
+ 22,
+ 'biom_table.biom',
+ 7,
+ '1756512010',
+ 1,
+ 16,
+ 1093210
+ );
--
-- Data for Name: analysis_filepath; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.analysis_filepath
+VALUES
+ (1, 15, 2);
-INSERT INTO qiita.analysis_filepath VALUES (1, 15, 2);
-INSERT INTO qiita.analysis_filepath VALUES (1, 16, NULL);
-
+INSERT INTO
+ qiita.analysis_filepath
+VALUES
+ (1, 16, NULL);
--
-- Data for Name: portal_type; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.portal_type
+VALUES
+ (2, 'EMP', 'EMP portal');
-INSERT INTO qiita.portal_type VALUES (2, 'EMP', 'EMP portal');
-INSERT INTO qiita.portal_type VALUES (1, 'QIITA', 'QIITA portal. Access to all data stored in database.');
-
+INSERT INTO
+ qiita.portal_type
+VALUES
+ (
+ 1,
+ 'QIITA',
+ 'QIITA portal. Access to all data stored in database.'
+ );
--
-- Data for Name: analysis_portal; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.analysis_portal VALUES (1, 1);
-INSERT INTO qiita.analysis_portal VALUES (2, 1);
-INSERT INTO qiita.analysis_portal VALUES (3, 1);
-INSERT INTO qiita.analysis_portal VALUES (4, 1);
-INSERT INTO qiita.analysis_portal VALUES (5, 1);
-INSERT INTO qiita.analysis_portal VALUES (6, 1);
-INSERT INTO qiita.analysis_portal VALUES (7, 2);
-INSERT INTO qiita.analysis_portal VALUES (8, 2);
-INSERT INTO qiita.analysis_portal VALUES (9, 2);
-INSERT INTO qiita.analysis_portal VALUES (10, 2);
-
+INSERT INTO
+ qiita.analysis_portal
+VALUES
+ (1, 1);
+
+INSERT INTO
+ qiita.analysis_portal
+VALUES
+ (2, 1);
+
+INSERT INTO
+ qiita.analysis_portal
+VALUES
+ (3, 1);
+
+INSERT INTO
+ qiita.analysis_portal
+VALUES
+ (4, 1);
+
+INSERT INTO
+ qiita.analysis_portal
+VALUES
+ (5, 1);
+
+INSERT INTO
+ qiita.analysis_portal
+VALUES
+ (6, 1);
+
+INSERT INTO
+ qiita.analysis_portal
+VALUES
+ (7, 2);
+
+INSERT INTO
+ qiita.analysis_portal
+VALUES
+ (8, 2);
+
+INSERT INTO
+ qiita.analysis_portal
+VALUES
+ (9, 2);
+
+INSERT INTO
+ qiita.analysis_portal
+VALUES
+ (10, 2);
--
-- Data for Name: processing_job_status; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.processing_job_status VALUES (1, 'queued', 'The job is waiting to be run');
-INSERT INTO qiita.processing_job_status VALUES (2, 'running', 'The job is running');
-INSERT INTO qiita.processing_job_status VALUES (3, 'success', 'The job completed successfully');
-INSERT INTO qiita.processing_job_status VALUES (4, 'error', 'The job failed');
-INSERT INTO qiita.processing_job_status VALUES (5, 'in_construction', 'The job is one of the source nodes of a workflow that is in construction');
-INSERT INTO qiita.processing_job_status VALUES (6, 'waiting', 'The job is waiting for a previous job in the workflow to be completed in order to be executed.');
-
+INSERT INTO
+ qiita.processing_job_status
+VALUES
+ (1, 'queued', 'The job is waiting to be run');
+
+INSERT INTO
+ qiita.processing_job_status
+VALUES
+ (2, 'running', 'The job is running');
+
+INSERT INTO
+ qiita.processing_job_status
+VALUES
+ (3, 'success', 'The job completed successfully');
+
+INSERT INTO
+ qiita.processing_job_status
+VALUES
+ (4, 'error', 'The job failed');
+
+INSERT INTO
+ qiita.processing_job_status
+VALUES
+ (
+ 5,
+ 'in_construction',
+ 'The job is one of the source nodes of a workflow that is in construction'
+ );
+
+INSERT INTO
+ qiita.processing_job_status
+VALUES
+ (
+ 6,
+ 'waiting',
+ 'The job is waiting for a previous job in the workflow to be completed in order to be executed.'
+ );
--
-- Data for Name: processing_job; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.processing_job VALUES ('6d368e16-2242-4cf8-87b4-a5dc40bb890b', 'test@foo.bar', 1, '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"input_data":1,"phred_offset":"auto"}', 3, NULL, NULL, NULL, NULL, false, 1284411757);
-INSERT INTO qiita.processing_job VALUES ('4c7115e8-4c8e-424c-bf25-96c292ca1931', 'test@foo.bar', 1, '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":true,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"input_data":1,"phred_offset":"auto"}', 3, NULL, NULL, NULL, NULL, false, 1287244546);
-INSERT INTO qiita.processing_job VALUES ('3c9991ab-6c14-4368-a48c-841e8837a79c', 'test@foo.bar', 3, '{"reference":1,"sortmerna_e_value":1,"sortmerna_max_pos":10000,"similarity":0.97,"sortmerna_coverage":0.97,"threads":1,"input_data":2}', 3, NULL, NULL, NULL, NULL, false, 1284411377);
-INSERT INTO qiita.processing_job VALUES ('b72369f9-a886-4193-8d3d-f7b504168e75', 'shared@foo.bar', 1, '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":true,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"input_data":1,"phred_offset":"auto"}', 3, NULL, '2015-11-22 21:15:00', NULL, NULL, false, 128552986);
-INSERT INTO qiita.processing_job VALUES ('46b76f74-e100-47aa-9bf2-c0208bcea52d', 'test@foo.bar', 1, '{"max_barcode_errors": "1.5", "sequence_max_n": "0", "max_bad_run_length": "3", "phred_offset": "auto", "rev_comp": "False", "phred_quality_threshold": "3", "input_data": "1", "rev_comp_barcode": "False", "rev_comp_mapping_barcodes": "True", "min_per_read_length_fraction": "0.75", "barcode_type": "golay_12"}', 3, NULL, NULL, NULL, NULL, false, 1279011391);
-INSERT INTO qiita.processing_job VALUES ('80bf25f3-5f1d-4e10-9369-315e4244f6d5', 'test@foo.bar', 3, '{"reference": "2", "similarity": "0.97", "sortmerna_e_value": "1", "sortmerna_max_pos": "10000", "input_data": "2", "threads": "1", "sortmerna_coverage": "0.97"}', 3, NULL, NULL, NULL, NULL, false, 1286151876);
-INSERT INTO qiita.processing_job VALUES ('9ba5ae7a-41e1-4202-b396-0259aeaac366', 'test@foo.bar', 3, '{"reference": "1", "similarity": "0.97", "sortmerna_e_value": "1", "sortmerna_max_pos": "10000", "input_data": "2", "threads": "1", "sortmerna_coverage": "0.97"}', 3, NULL, NULL, NULL, NULL, false, 1283300404);
-INSERT INTO qiita.processing_job VALUES ('e5609746-a985-41a1-babf-6b3ebe9eb5a9', 'test@foo.bar', 3, '{"reference": "1", "similarity": "0.97", "sortmerna_e_value": "1", "sortmerna_max_pos": "10000", "input_data": "2", "threads": "1", "sortmerna_coverage": "0.97"}', 3, NULL, NULL, NULL, NULL, false, 1275827198);
-INSERT INTO qiita.processing_job VALUES ('6ad4d590-4fa3-44d3-9a8f-ddbb472b1b5f', 'test@foo.bar', 1, '{"max_barcode_errors": "1.5", "sequence_max_n": "0", "max_bad_run_length": "3", "phred_offset": "auto", "rev_comp": "False", "phred_quality_threshold": "3", "input_data": "1", "rev_comp_barcode": "False", "rev_comp_mapping_barcodes": "False", "min_per_read_length_fraction": "0.75", "barcode_type": "golay_12"}', 3, NULL, NULL, NULL, NULL, false, 1266027);
-INSERT INTO qiita.processing_job VALUES ('8a7a8461-e8a1-4b4e-a428-1bc2f4d3ebd0', 'test@foo.bar', 12, '{"biom_table": "8", "depth": "9000", "subsample_multinomial": "False"}', 3, NULL, NULL, NULL, NULL, false, 126652530);
-INSERT INTO qiita.processing_job VALUES ('063e553b-327c-4818-ab4a-adfe58e49860', 'test@foo.bar', 1, '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"input_data":1,"phred_offset":"auto"}', 1, NULL, NULL, NULL, NULL, true, NULL);
-INSERT INTO qiita.processing_job VALUES ('bcc7ebcd-39c1-43e4-af2d-822e3589f14d', 'test@foo.bar', 2, '{"min_seq_len":100,"max_seq_len":1000,"trim_seq_length":false,"min_qual_score":25,"max_ambig":6,"max_homopolymer":6,"max_primer_mismatch":0,"barcode_type":"golay_12","max_barcode_errors":1.5,"disable_bc_correction":false,"qual_score_window":0,"disable_primers":false,"reverse_primers":"disable","reverse_primer_mismatches":0,"truncate_ambi_bases":false,"input_data":1}', 2, NULL, '2015-11-22 21:00:00', 'demultiplexing', NULL, true, NULL);
-INSERT INTO qiita.processing_job VALUES ('d19f76ee-274e-4c1b-b3a2-a12d73507c55', 'shared@foo.bar', 3, '{"reference":1,"sortmerna_e_value":1,"sortmerna_max_pos":10000,"similarity":0.97,"sortmerna_coverage":0.97,"threads":1,"input_data":2}', 4, 1, '2015-11-22 21:30:00', 'generating demux file', NULL, true, NULL);
-INSERT INTO qiita.processing_job VALUES ('ac653cb5-76a6-4a45-929e-eb9b2dee6b63', 'test@foo.bar', 1, '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"input_data":1}', 5, NULL, NULL, NULL, NULL, true, NULL);
-
+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
+ '6d368e16-2242-4cf8-87b4-a5dc40bb890b',
+ 'test@foo.bar',
+ 1,
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+ 3,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ false,
+ 1284411757
+ );
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+INSERT INTO
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+VALUES
+ (
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+ 3,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ false,
+ 1287244546
+ );
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+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
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+ 'test@foo.bar',
+ 3,
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+ 3,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ false,
+ 1284411377
+ );
+
+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
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+ 'shared@foo.bar',
+ 1,
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":true,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"input_data":1,"phred_offset":"auto"}',
+ 3,
+ NULL,
+ '2015-11-22 21:15:00',
+ NULL,
+ NULL,
+ false,
+ 128552986
+ );
+
+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
+ '46b76f74-e100-47aa-9bf2-c0208bcea52d',
+ 'test@foo.bar',
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+ 3,
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+ NULL,
+ NULL,
+ NULL,
+ false,
+ 1279011391
+ );
+
+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
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+ 'test@foo.bar',
+ 3,
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+ 3,
+ NULL,
+ NULL,
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+ 1286151876
+ );
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+INSERT INTO
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+VALUES
+ (
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+ 'test@foo.bar',
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+ '{"reference": "1", "similarity": "0.97", "sortmerna_e_value": "1", "sortmerna_max_pos": "10000", "input_data": "2", "threads": "1", "sortmerna_coverage": "0.97"}',
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+ 1283300404
+ );
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+INSERT INTO
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+VALUES
+ (
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+ false,
+ 1275827198
+ );
+
+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
+ '6ad4d590-4fa3-44d3-9a8f-ddbb472b1b5f',
+ 'test@foo.bar',
+ 1,
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+ 3,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ false,
+ 1266027
+ );
+
+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
+ '8a7a8461-e8a1-4b4e-a428-1bc2f4d3ebd0',
+ 'test@foo.bar',
+ 12,
+ '{"biom_table": "8", "depth": "9000", "subsample_multinomial": "False"}',
+ 3,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ false,
+ 126652530
+ );
+
+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
+ '063e553b-327c-4818-ab4a-adfe58e49860',
+ 'test@foo.bar',
+ 1,
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"input_data":1,"phred_offset":"auto"}',
+ 1,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ true,
+ NULL
+ );
+
+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
+ 'bcc7ebcd-39c1-43e4-af2d-822e3589f14d',
+ 'test@foo.bar',
+ 2,
+ '{"min_seq_len":100,"max_seq_len":1000,"trim_seq_length":false,"min_qual_score":25,"max_ambig":6,"max_homopolymer":6,"max_primer_mismatch":0,"barcode_type":"golay_12","max_barcode_errors":1.5,"disable_bc_correction":false,"qual_score_window":0,"disable_primers":false,"reverse_primers":"disable","reverse_primer_mismatches":0,"truncate_ambi_bases":false,"input_data":1}',
+ 2,
+ NULL,
+ '2015-11-22 21:00:00',
+ 'demultiplexing',
+ NULL,
+ true,
+ NULL
+ );
+
+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
+ 'd19f76ee-274e-4c1b-b3a2-a12d73507c55',
+ 'shared@foo.bar',
+ 3,
+ '{"reference":1,"sortmerna_e_value":1,"sortmerna_max_pos":10000,"similarity":0.97,"sortmerna_coverage":0.97,"threads":1,"input_data":2}',
+ 4,
+ 1,
+ '2015-11-22 21:30:00',
+ 'generating demux file',
+ NULL,
+ true,
+ NULL
+ );
+
+INSERT INTO
+ qiita.processing_job
+VALUES
+ (
+ 'ac653cb5-76a6-4a45-929e-eb9b2dee6b63',
+ 'test@foo.bar',
+ 1,
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"input_data":1}',
+ 5,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ true,
+ NULL
+ );
--
-- Data for Name: analysis_processing_job; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: study_person; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.study_person VALUES (1, 'LabDude', 'lab_dude@foo.bar', 'knight lab', '123 lab street', '121-222-3333');
-INSERT INTO qiita.study_person VALUES (2, 'empDude', 'emp_dude@foo.bar', 'broad', NULL, '444-222-3333');
-INSERT INTO qiita.study_person VALUES (3, 'PIDude', 'PI_dude@foo.bar', 'Wash U', '123 PI street', NULL);
-
+INSERT INTO
+ qiita.study_person
+VALUES
+ (
+ 1,
+ 'LabDude',
+ 'lab_dude@foo.bar',
+ 'knight lab',
+ '123 lab street',
+ '121-222-3333'
+ );
+
+INSERT INTO
+ qiita.study_person
+VALUES
+ (
+ 2,
+ 'empDude',
+ 'emp_dude@foo.bar',
+ 'broad',
+ NULL,
+ '444-222-3333'
+ );
+
+INSERT INTO
+ qiita.study_person
+VALUES
+ (
+ 3,
+ 'PIDude',
+ 'PI_dude@foo.bar',
+ 'Wash U',
+ '123 PI street',
+ NULL
+ );
--
-- Data for Name: timeseries_type; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.timeseries_type VALUES (1, 'None', 'None');
-INSERT INTO qiita.timeseries_type VALUES (2, 'real', 'single intervention');
-INSERT INTO qiita.timeseries_type VALUES (3, 'real', 'multiple intervention');
-INSERT INTO qiita.timeseries_type VALUES (4, 'real', 'combo intervention');
-INSERT INTO qiita.timeseries_type VALUES (5, 'pseudo', 'single intervention');
-INSERT INTO qiita.timeseries_type VALUES (6, 'pseudo', 'multiple intervention');
-INSERT INTO qiita.timeseries_type VALUES (7, 'pseudo', 'combo intervention');
-INSERT INTO qiita.timeseries_type VALUES (8, 'mixed', 'single intervention');
-INSERT INTO qiita.timeseries_type VALUES (9, 'mixed', 'multiple intervention');
-INSERT INTO qiita.timeseries_type VALUES (10, 'mixed', 'combo intervention');
-
+INSERT INTO
+ qiita.timeseries_type
+VALUES
+ (1, 'None', 'None');
+
+INSERT INTO
+ qiita.timeseries_type
+VALUES
+ (2, 'real', 'single intervention');
+
+INSERT INTO
+ qiita.timeseries_type
+VALUES
+ (3, 'real', 'multiple intervention');
+
+INSERT INTO
+ qiita.timeseries_type
+VALUES
+ (4, 'real', 'combo intervention');
+
+INSERT INTO
+ qiita.timeseries_type
+VALUES
+ (5, 'pseudo', 'single intervention');
+
+INSERT INTO
+ qiita.timeseries_type
+VALUES
+ (6, 'pseudo', 'multiple intervention');
+
+INSERT INTO
+ qiita.timeseries_type
+VALUES
+ (7, 'pseudo', 'combo intervention');
+
+INSERT INTO
+ qiita.timeseries_type
+VALUES
+ (8, 'mixed', 'single intervention');
+
+INSERT INTO
+ qiita.timeseries_type
+VALUES
+ (9, 'mixed', 'multiple intervention');
+
+INSERT INTO
+ qiita.timeseries_type
+VALUES
+ (10, 'mixed', 'combo intervention');
--
-- Data for Name: study; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.study VALUES (1, 'test@foo.bar', '2014-05-19 16:10:00', NULL, 1, 1, true, true, '2014-05-19 16:11:00', 3, false, false, 'Identification of the Microbiomes for Cannabis Soils', 'Cannabis Soils', 'Analysis of the Cannabis Plant Microbiome', 'This is a preliminary study to examine the microbiota associated with the Cannabis plant. Soils samples from the bulk soil, soil associated with the roots, and the rhizosphere were extracted and the DNA sequenced. Roots from three independent plants of different strains were examined. These roots were obtained November 11, 2011 from plants that had been harvested in the summer. Future studies will attempt to analyze the soils and rhizospheres from the same location at different time points in the plant lifecycle.', NULL, 'EBI123456-BB', false, '', false);
-
+INSERT INTO
+ qiita.study
+VALUES
+ (
+ 1,
+ 'test@foo.bar',
+ '2014-05-19 16:10:00',
+ NULL,
+ 1,
+ 1,
+ true,
+ true,
+ '2014-05-19 16:11:00',
+ 3,
+ false,
+ false,
+ 'Identification of the Microbiomes for Cannabis Soils',
+ 'Cannabis Soils',
+ 'Analysis of the Cannabis Plant Microbiome',
+ 'This is a preliminary study to examine the microbiota associated with the Cannabis plant. Soils samples from the bulk soil, soil associated with the roots, and the rhizosphere were extracted and the DNA sequenced. Roots from three independent plants of different strains were examined. These roots were obtained November 11, 2011 from plants that had been harvested in the summer. Future studies will attempt to analyze the soils and rhizospheres from the same location at different time points in the plant lifecycle.',
+ NULL,
+ 'EBI123456-BB',
+ false,
+ '',
+ false
+ );
--
-- Data for Name: study_sample; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.study_sample VALUES ('1.SKB8.640193', 1, 'ERS000000', 'SAMEA0000000');
-INSERT INTO qiita.study_sample VALUES ('1.SKD8.640184', 1, 'ERS000001', 'SAMEA0000001');
-INSERT INTO qiita.study_sample VALUES ('1.SKB7.640196', 1, 'ERS000002', 'SAMEA0000002');
-INSERT INTO qiita.study_sample VALUES ('1.SKM9.640192', 1, 'ERS000003', 'SAMEA0000003');
-INSERT INTO qiita.study_sample VALUES ('1.SKM4.640180', 1, 'ERS000004', 'SAMEA0000004');
-INSERT INTO qiita.study_sample VALUES ('1.SKM5.640177', 1, 'ERS000005', 'SAMEA0000005');
-INSERT INTO qiita.study_sample VALUES ('1.SKB5.640181', 1, 'ERS000006', 'SAMEA0000006');
-INSERT INTO qiita.study_sample VALUES ('1.SKD6.640190', 1, 'ERS000007', 'SAMEA0000007');
-INSERT INTO qiita.study_sample VALUES ('1.SKB2.640194', 1, 'ERS000008', 'SAMEA0000008');
-INSERT INTO qiita.study_sample VALUES ('1.SKD2.640178', 1, 'ERS000009', 'SAMEA0000009');
-INSERT INTO qiita.study_sample VALUES ('1.SKM7.640188', 1, 'ERS000010', 'SAMEA0000010');
-INSERT INTO qiita.study_sample VALUES ('1.SKB1.640202', 1, 'ERS000011', 'SAMEA0000011');
-INSERT INTO qiita.study_sample VALUES ('1.SKD1.640179', 1, 'ERS000012', 'SAMEA0000012');
-INSERT INTO qiita.study_sample VALUES ('1.SKD3.640198', 1, 'ERS000013', 'SAMEA0000013');
-INSERT INTO qiita.study_sample VALUES ('1.SKM8.640201', 1, 'ERS000014', 'SAMEA0000014');
-INSERT INTO qiita.study_sample VALUES ('1.SKM2.640199', 1, 'ERS000015', 'SAMEA0000015');
-INSERT INTO qiita.study_sample VALUES ('1.SKB9.640200', 1, 'ERS000016', 'SAMEA0000016');
-INSERT INTO qiita.study_sample VALUES ('1.SKD5.640186', 1, 'ERS000017', 'SAMEA0000017');
-INSERT INTO qiita.study_sample VALUES ('1.SKM3.640197', 1, 'ERS000018', 'SAMEA0000018');
-INSERT INTO qiita.study_sample VALUES ('1.SKD9.640182', 1, 'ERS000019', 'SAMEA0000019');
-INSERT INTO qiita.study_sample VALUES ('1.SKB4.640189', 1, 'ERS000020', 'SAMEA0000020');
-INSERT INTO qiita.study_sample VALUES ('1.SKD7.640191', 1, 'ERS000021', 'SAMEA0000021');
-INSERT INTO qiita.study_sample VALUES ('1.SKM6.640187', 1, 'ERS000022', 'SAMEA0000022');
-INSERT INTO qiita.study_sample VALUES ('1.SKD4.640185', 1, 'ERS000023', 'SAMEA0000023');
-INSERT INTO qiita.study_sample VALUES ('1.SKB3.640195', 1, 'ERS000024', 'SAMEA0000024');
-INSERT INTO qiita.study_sample VALUES ('1.SKB6.640176', 1, 'ERS000025', 'SAMEA0000025');
-INSERT INTO qiita.study_sample VALUES ('1.SKM1.640183', 1, 'ERS000025', 'SAMEA0000026');
-
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKB8.640193', 1, 'ERS000000', 'SAMEA0000000');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKD8.640184', 1, 'ERS000001', 'SAMEA0000001');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKB7.640196', 1, 'ERS000002', 'SAMEA0000002');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKM9.640192', 1, 'ERS000003', 'SAMEA0000003');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKM4.640180', 1, 'ERS000004', 'SAMEA0000004');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKM5.640177', 1, 'ERS000005', 'SAMEA0000005');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKB5.640181', 1, 'ERS000006', 'SAMEA0000006');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKD6.640190', 1, 'ERS000007', 'SAMEA0000007');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKB2.640194', 1, 'ERS000008', 'SAMEA0000008');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKD2.640178', 1, 'ERS000009', 'SAMEA0000009');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKM7.640188', 1, 'ERS000010', 'SAMEA0000010');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKB1.640202', 1, 'ERS000011', 'SAMEA0000011');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKD1.640179', 1, 'ERS000012', 'SAMEA0000012');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKD3.640198', 1, 'ERS000013', 'SAMEA0000013');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKM8.640201', 1, 'ERS000014', 'SAMEA0000014');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKM2.640199', 1, 'ERS000015', 'SAMEA0000015');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKB9.640200', 1, 'ERS000016', 'SAMEA0000016');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKD5.640186', 1, 'ERS000017', 'SAMEA0000017');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKM3.640197', 1, 'ERS000018', 'SAMEA0000018');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKD9.640182', 1, 'ERS000019', 'SAMEA0000019');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKB4.640189', 1, 'ERS000020', 'SAMEA0000020');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKD7.640191', 1, 'ERS000021', 'SAMEA0000021');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKM6.640187', 1, 'ERS000022', 'SAMEA0000022');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKD4.640185', 1, 'ERS000023', 'SAMEA0000023');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKB3.640195', 1, 'ERS000024', 'SAMEA0000024');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKB6.640176', 1, 'ERS000025', 'SAMEA0000025');
+
+INSERT INTO
+ qiita.study_sample
+VALUES
+ ('1.SKM1.640183', 1, 'ERS000025', 'SAMEA0000026');
--
-- Data for Name: analysis_sample; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKB8.640193', 4);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKD8.640184', 4);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKB7.640196', 4);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKM9.640192', 4);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKM4.640180', 4);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKB8.640193', 4);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKD8.640184', 4);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKB7.640196', 4);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKM3.640197', 4);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKB8.640193', 5);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKD8.640184', 5);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKB7.640196', 5);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKM9.640192', 5);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKM4.640180', 5);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKB8.640193', 5);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKD8.640184', 5);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKB7.640196', 5);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKM3.640197', 5);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKB8.640193', 6);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKD8.640184', 6);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKB7.640196', 6);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKM9.640192', 6);
-INSERT INTO qiita.analysis_sample VALUES (1, '1.SKM4.640180', 6);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKB8.640193', 6);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKD8.640184', 6);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKB7.640196', 6);
-INSERT INTO qiita.analysis_sample VALUES (2, '1.SKM3.640197', 6);
-INSERT INTO qiita.analysis_sample VALUES (3, '1.SKD8.640184', 4);
-INSERT INTO qiita.analysis_sample VALUES (3, '1.SKB7.640196', 4);
-INSERT INTO qiita.analysis_sample VALUES (3, '1.SKM9.640192', 4);
-INSERT INTO qiita.analysis_sample VALUES (3, '1.SKM4.640180', 4);
-
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKB8.640193', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKD8.640184', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKB7.640196', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKM9.640192', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKM4.640180', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKB8.640193', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKD8.640184', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKB7.640196', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKM3.640197', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKB8.640193', 5);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKD8.640184', 5);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKB7.640196', 5);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKM9.640192', 5);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKM4.640180', 5);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKB8.640193', 5);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKD8.640184', 5);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKB7.640196', 5);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKM3.640197', 5);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKB8.640193', 6);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKD8.640184', 6);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKB7.640196', 6);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKM9.640192', 6);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (1, '1.SKM4.640180', 6);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKB8.640193', 6);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKD8.640184', 6);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKB7.640196', 6);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (2, '1.SKM3.640197', 6);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (3, '1.SKD8.640184', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (3, '1.SKB7.640196', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (3, '1.SKM9.640192', 4);
+
+INSERT INTO
+ qiita.analysis_sample
+VALUES
+ (3, '1.SKM4.640180', 4);
--
-- Data for Name: analysis_users; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.analysis_users VALUES (1, 'shared@foo.bar');
-
+INSERT INTO
+ qiita.analysis_users
+VALUES
+ (1, 'shared@foo.bar');
--
-- Data for Name: archive_merging_scheme; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: archive_feature_value; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: artifact_filepath; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.artifact_filepath VALUES (1, 1);
-INSERT INTO qiita.artifact_filepath VALUES (1, 2);
-INSERT INTO qiita.artifact_filepath VALUES (2, 3);
-INSERT INTO qiita.artifact_filepath VALUES (2, 4);
-INSERT INTO qiita.artifact_filepath VALUES (2, 5);
-INSERT INTO qiita.artifact_filepath VALUES (4, 9);
-INSERT INTO qiita.artifact_filepath VALUES (5, 9);
-INSERT INTO qiita.artifact_filepath VALUES (6, 12);
-INSERT INTO qiita.artifact_filepath VALUES (7, 22);
-INSERT INTO qiita.artifact_filepath VALUES (8, 22);
-INSERT INTO qiita.artifact_filepath VALUES (9, 15);
-
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (1, 1);
+
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (1, 2);
+
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (2, 3);
+
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (2, 4);
+
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (2, 5);
+
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (4, 9);
+
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (5, 9);
+
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (6, 12);
+
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (7, 22);
+
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (8, 22);
+
+INSERT INTO
+ qiita.artifact_filepath
+VALUES
+ (9, 15);
--
-- Data for Name: command_output; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.command_output
+VALUES
+ (1, 'demultiplexed', 1, 6, false);
-INSERT INTO qiita.command_output VALUES (1, 'demultiplexed', 1, 6, false);
-INSERT INTO qiita.command_output VALUES (2, 'demultiplexed', 2, 6, false);
-INSERT INTO qiita.command_output VALUES (3, 'OTU table', 3, 7, false);
-INSERT INTO qiita.command_output VALUES (4, 'taxa_summary', 9, 10, false);
-INSERT INTO qiita.command_output VALUES (5, 'distance_matrix', 10, 8, false);
-INSERT INTO qiita.command_output VALUES (6, 'rarefaction_curves', 11, 9, false);
-INSERT INTO qiita.command_output VALUES (7, 'rarefied_table', 12, 7, false);
+INSERT INTO
+ qiita.command_output
+VALUES
+ (2, 'demultiplexed', 2, 6, false);
+INSERT INTO
+ qiita.command_output
+VALUES
+ (3, 'OTU table', 3, 7, false);
+
+INSERT INTO
+ qiita.command_output
+VALUES
+ (4, 'taxa_summary', 9, 10, false);
+
+INSERT INTO
+ qiita.command_output
+VALUES
+ (5, 'distance_matrix', 10, 8, false);
+
+INSERT INTO
+ qiita.command_output
+VALUES
+ (6, 'rarefaction_curves', 11, 9, false);
+
+INSERT INTO
+ qiita.command_output
+VALUES
+ (7, 'rarefied_table', 12, 7, false);
--
-- Data for Name: artifact_output_processing_job; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.artifact_output_processing_job
+VALUES
+ (3, '46b76f74-e100-47aa-9bf2-c0208bcea52d', 1);
+
+INSERT INTO
+ qiita.artifact_output_processing_job
+VALUES
+ (6, '80bf25f3-5f1d-4e10-9369-315e4244f6d5', 3);
-INSERT INTO qiita.artifact_output_processing_job VALUES (3, '46b76f74-e100-47aa-9bf2-c0208bcea52d', 1);
-INSERT INTO qiita.artifact_output_processing_job VALUES (6, '80bf25f3-5f1d-4e10-9369-315e4244f6d5', 3);
-INSERT INTO qiita.artifact_output_processing_job VALUES (5, '9ba5ae7a-41e1-4202-b396-0259aeaac366', 3);
-INSERT INTO qiita.artifact_output_processing_job VALUES (4, 'e5609746-a985-41a1-babf-6b3ebe9eb5a9', 3);
-INSERT INTO qiita.artifact_output_processing_job VALUES (2, '6ad4d590-4fa3-44d3-9a8f-ddbb472b1b5f', 1);
-INSERT INTO qiita.artifact_output_processing_job VALUES (9, '8a7a8461-e8a1-4b4e-a428-1bc2f4d3ebd0', 7);
+INSERT INTO
+ qiita.artifact_output_processing_job
+VALUES
+ (5, '9ba5ae7a-41e1-4202-b396-0259aeaac366', 3);
+INSERT INTO
+ qiita.artifact_output_processing_job
+VALUES
+ (4, 'e5609746-a985-41a1-babf-6b3ebe9eb5a9', 3);
+
+INSERT INTO
+ qiita.artifact_output_processing_job
+VALUES
+ (2, '6ad4d590-4fa3-44d3-9a8f-ddbb472b1b5f', 1);
+
+INSERT INTO
+ qiita.artifact_output_processing_job
+VALUES
+ (9, '8a7a8461-e8a1-4b4e-a428-1bc2f4d3ebd0', 7);
--
-- Data for Name: artifact_processing_job; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.artifact_processing_job VALUES (1, '6d368e16-2242-4cf8-87b4-a5dc40bb890b');
-INSERT INTO qiita.artifact_processing_job VALUES (1, '4c7115e8-4c8e-424c-bf25-96c292ca1931');
-INSERT INTO qiita.artifact_processing_job VALUES (2, '3c9991ab-6c14-4368-a48c-841e8837a79c');
-INSERT INTO qiita.artifact_processing_job VALUES (1, '063e553b-327c-4818-ab4a-adfe58e49860');
-INSERT INTO qiita.artifact_processing_job VALUES (1, 'bcc7ebcd-39c1-43e4-af2d-822e3589f14d');
-INSERT INTO qiita.artifact_processing_job VALUES (1, 'b72369f9-a886-4193-8d3d-f7b504168e75');
-INSERT INTO qiita.artifact_processing_job VALUES (2, 'd19f76ee-274e-4c1b-b3a2-a12d73507c55');
-INSERT INTO qiita.artifact_processing_job VALUES (1, '46b76f74-e100-47aa-9bf2-c0208bcea52d');
-INSERT INTO qiita.artifact_processing_job VALUES (2, '80bf25f3-5f1d-4e10-9369-315e4244f6d5');
-INSERT INTO qiita.artifact_processing_job VALUES (2, '9ba5ae7a-41e1-4202-b396-0259aeaac366');
-INSERT INTO qiita.artifact_processing_job VALUES (2, 'e5609746-a985-41a1-babf-6b3ebe9eb5a9');
-INSERT INTO qiita.artifact_processing_job VALUES (1, '6ad4d590-4fa3-44d3-9a8f-ddbb472b1b5f');
-INSERT INTO qiita.artifact_processing_job VALUES (8, '8a7a8461-e8a1-4b4e-a428-1bc2f4d3ebd0');
-
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (1, '6d368e16-2242-4cf8-87b4-a5dc40bb890b');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (1, '4c7115e8-4c8e-424c-bf25-96c292ca1931');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (2, '3c9991ab-6c14-4368-a48c-841e8837a79c');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (1, '063e553b-327c-4818-ab4a-adfe58e49860');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (1, 'bcc7ebcd-39c1-43e4-af2d-822e3589f14d');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (1, 'b72369f9-a886-4193-8d3d-f7b504168e75');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (2, 'd19f76ee-274e-4c1b-b3a2-a12d73507c55');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (1, '46b76f74-e100-47aa-9bf2-c0208bcea52d');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (2, '80bf25f3-5f1d-4e10-9369-315e4244f6d5');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (2, '9ba5ae7a-41e1-4202-b396-0259aeaac366');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (2, 'e5609746-a985-41a1-babf-6b3ebe9eb5a9');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (1, '6ad4d590-4fa3-44d3-9a8f-ddbb472b1b5f');
+
+INSERT INTO
+ qiita.artifact_processing_job
+VALUES
+ (8, '8a7a8461-e8a1-4b4e-a428-1bc2f4d3ebd0');
--
-- Data for Name: artifact_type_filepath_type; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.artifact_type_filepath_type VALUES (1, 17, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (2, 18, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (3, 1, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (3, 2, false);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (3, 3, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (4, 18, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (4, 19, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (5, 1, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (5, 2, false);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (6, 4, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (6, 5, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (6, 6, false);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (6, 13, false);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (7, 7, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (7, 8, false);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (7, 13, false);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (8, 8, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (9, 8, true);
-INSERT INTO qiita.artifact_type_filepath_type VALUES (10, 8, true);
-
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (1, 17, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (2, 18, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (3, 1, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (3, 2, false);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (3, 3, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (4, 18, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (4, 19, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (5, 1, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (5, 2, false);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (6, 4, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (6, 5, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (6, 6, false);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (6, 13, false);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (7, 7, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (7, 8, false);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (7, 13, false);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (8, 8, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (9, 8, true);
+
+INSERT INTO
+ qiita.artifact_type_filepath_type
+VALUES
+ (10, 8, true);
--
-- Data for Name: controlled_vocab; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: mixs_field_description; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: column_controlled_vocabularies; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: column_ontology; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: command_parameter; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.command_parameter VALUES (1, 'input_data', 'artifact', true, NULL, 1, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (1, 'max_bad_run_length', 'integer', false, '3', 2, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (1, 'min_per_read_length_fraction', 'float', false, '0.75', 3, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (1, 'sequence_max_n', 'integer', false, '0', 4, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (1, 'rev_comp_barcode', 'bool', false, 'False', 5, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (1, 'rev_comp_mapping_barcodes', 'bool', false, 'False', 6, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (1, 'rev_comp', 'bool', false, 'False', 7, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (1, 'phred_quality_threshold', 'integer', false, '3', 8, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (1, 'barcode_type', 'string', false, 'golay_12', 9, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (1, 'max_barcode_errors', 'float', false, '1.5', 10, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'input_data', 'artifact', true, NULL, 11, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'min_seq_len', 'integer', false, '200', 12, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'max_seq_len', 'integer', false, '1000', 13, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'trim_seq_length', 'bool', false, 'False', 14, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'min_qual_score', 'integer', false, '25', 15, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'max_ambig', 'integer', false, '6', 16, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'max_homopolymer', 'integer', false, '6', 17, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'max_primer_mismatch', 'integer', false, '0', 18, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'barcode_type', 'string', false, 'golay_12', 19, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'max_barcode_errors', 'float', false, '1.5', 20, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'disable_bc_correction', 'bool', false, 'False', 21, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'qual_score_window', 'integer', false, '0', 22, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'disable_primers', 'bool', false, 'False', 23, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'reverse_primers', 'choice:["disable", "truncate_only", "truncate_remove"]', false, 'disable', 24, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'reverse_primer_mismatches', 'integer', false, '0', 25, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (2, 'truncate_ambi_bases', 'bool', false, 'False', 26, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (3, 'input_data', 'artifact', true, NULL, 27, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (3, 'reference', 'reference', false, '1', 28, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (3, 'sortmerna_e_value', 'float', false, '1', 29, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (3, 'sortmerna_max_pos', 'integer', false, '10000', 30, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (3, 'similarity', 'float', false, '0.97', 31, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (3, 'sortmerna_coverage', 'float', false, '0.97', 32, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (3, 'threads', 'integer', false, '1', 33, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (4, 'files', 'string', true, NULL, 35, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (4, 'artifact_type', 'string', true, NULL, 36, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (5, 'input_data', 'artifact', true, NULL, 37, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (6, 'template', 'prep_template', true, NULL, 38, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (6, 'files', 'string', true, NULL, 39, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (6, 'artifact_type', 'string', true, NULL, 40, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (7, 'input_data', 'artifact', true, NULL, 41, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (1, 'phred_offset', 'choice:["auto", "33", "64"]', false, 'auto', 42, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (4, 'provenance', 'string', false, NULL, 43, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (6, 'provenance', 'string', false, NULL, 44, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (4, 'analysis', 'analysis', false, NULL, 45, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (4, 'template', 'prep_template', false, NULL, 34, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (8, 'analysis', 'analysis', true, NULL, 46, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (8, 'merge_dup_sample_ids', 'bool', false, 'False', 47, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (9, 'metadata_category', 'string', false, '', 48, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (9, 'sort', 'bool', false, 'False', 49, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (10, 'tree', 'string', false, '', 50, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (10, 'metric', 'choice:["abund_jaccard","binary_chisq","binary_chord","binary_euclidean","binary_hamming","binary_jaccard","binary_lennon","binary_ochiai","binary_otu_gain","binary_pearson","binary_sorensen_dice","bray_curtis","bray_curtis_faith","bray_curtis_magurran","canberra","chisq","chord","euclidean","gower","hellinger","kulczynski","manhattan","morisita_horn","pearson","soergel","spearman_approx","specprof","unifrac","unifrac_g","unifrac_g_full_tree","unweighted_unifrac","unweighted_unifrac_full_tree","weighted_normalized_unifrac","weighted_unifrac"]', false, '"binary_jaccard"', 51, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (11, 'tree', 'string', false, '', 52, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (11, 'num_steps', 'integer', false, '10', 53, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (11, 'min_rare_depth', 'integer', false, '10', 54, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (11, 'max_rare_depth', 'integer', false, 'Default', 55, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (11, 'metrics', 'mchoice:["ace","berger_parker_d","brillouin_d","chao1","chao1_ci","dominance","doubles","enspie","equitability","esty_ci","fisher_alpha","gini_index","goods_coverage","heip_e","kempton_taylor_q","margalef","mcintosh_d","mcintosh_e","menhinick","michaelis_menten_fit","observed_otus","observed_species","osd","simpson_reciprocal","robbins","shannon","simpson","simpson_e","singles","strong","PD_whole_tree"]', false, '["chao1","observed_otus"]', 56, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (12, 'depth', 'integer', true, NULL, 57, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (12, 'subsample_multinomial', 'bool', false, 'False', 58, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (9, 'biom_table', 'artifact', true, NULL, 59, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (10, 'biom_table', 'artifact', true, NULL, 60, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (11, 'biom_table', 'artifact', true, NULL, 61, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (12, 'biom_table', 'artifact', true, NULL, 62, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (13, 'job', 'string', true, NULL, 63, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (14, 'artifact', 'integer', true, NULL, 64, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (15, 'artifact', 'integer', true, NULL, 65, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (15, 'prep_template', 'prep_template', true, NULL, 66, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (16, 'artifact', 'integer', true, NULL, 67, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (16, 'submission_type', 'choice:["ADD", "MODIFY"]', false, 'ADD', 68, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (17, 'artifact', 'integer', true, NULL, 69, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (18, 'fp', 'string', true, NULL, 70, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (18, 'study_id', 'integer', true, NULL, 71, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (18, 'is_mapping_file', 'boolean', false, 'true', 72, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (18, 'data_type', 'string', true, NULL, 73, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (19, 'study', 'integer', true, NULL, 74, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (19, 'template_fp', 'string', true, NULL, 75, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (20, 'study', 'integer', true, NULL, 76, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (21, 'study', 'integer', true, NULL, 77, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (22, 'prep_template', 'integer', true, NULL, 78, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (22, 'template_fp', 'string', true, NULL, 79, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (23, 'obj_class', 'choice:["SampleTemplate", "PrepTemplate"]', true, NULL, 80, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (23, 'obj_id', 'integer', true, NULL, 81, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (23, 'sample_or_col', 'choice:["samples", "columns"]', true, NULL, 82, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (23, 'name', 'string', true, NULL, 83, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (24, 'job_id', 'string', true, NULL, 84, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (24, 'payload', 'string', true, NULL, 85, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (4, 'name', 'string', false, 'default_name', 86, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (6, 'name', 'string', false, 'default_name', 87, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (25, 'analysis_id', 'integer', true, NULL, 88, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (6, 'analysis', 'analysis', false, NULL, 89, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (26, 'url', 'string', true, NULL, 90, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (26, 'private_key', 'string', true, NULL, 91, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (26, 'study_id', 'integer', true, NULL, 92, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (27, 'url', 'string', true, NULL, 93, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (27, 'destination', 'string', true, NULL, 94, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (27, 'private_key', 'string', true, NULL, 95, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (28, 'download_source', 'choice:["EBI-ENA", "SRA"]', false, 'EBI-ENA', 96, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (28, 'accession', 'string', false, 'None', 97, NULL, false);
-INSERT INTO qiita.command_parameter VALUES (8, 'categories', 'mchoice', true, NULL, 98, NULL, false);
-
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'input_data',
+ 'artifact',
+ true,
+ NULL,
+ 1,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'max_bad_run_length',
+ 'integer',
+ false,
+ '3',
+ 2,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'min_per_read_length_fraction',
+ 'float',
+ false,
+ '0.75',
+ 3,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'sequence_max_n',
+ 'integer',
+ false,
+ '0',
+ 4,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'rev_comp_barcode',
+ 'bool',
+ false,
+ 'False',
+ 5,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'rev_comp_mapping_barcodes',
+ 'bool',
+ false,
+ 'False',
+ 6,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'rev_comp',
+ 'bool',
+ false,
+ 'False',
+ 7,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'phred_quality_threshold',
+ 'integer',
+ false,
+ '3',
+ 8,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'barcode_type',
+ 'string',
+ false,
+ 'golay_12',
+ 9,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'max_barcode_errors',
+ 'float',
+ false,
+ '1.5',
+ 10,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'input_data',
+ 'artifact',
+ true,
+ NULL,
+ 11,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'min_seq_len',
+ 'integer',
+ false,
+ '200',
+ 12,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'max_seq_len',
+ 'integer',
+ false,
+ '1000',
+ 13,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'trim_seq_length',
+ 'bool',
+ false,
+ 'False',
+ 14,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'min_qual_score',
+ 'integer',
+ false,
+ '25',
+ 15,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'max_ambig',
+ 'integer',
+ false,
+ '6',
+ 16,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'max_homopolymer',
+ 'integer',
+ false,
+ '6',
+ 17,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'max_primer_mismatch',
+ 'integer',
+ false,
+ '0',
+ 18,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'barcode_type',
+ 'string',
+ false,
+ 'golay_12',
+ 19,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'max_barcode_errors',
+ 'float',
+ false,
+ '1.5',
+ 20,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'disable_bc_correction',
+ 'bool',
+ false,
+ 'False',
+ 21,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'qual_score_window',
+ 'integer',
+ false,
+ '0',
+ 22,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'disable_primers',
+ 'bool',
+ false,
+ 'False',
+ 23,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'reverse_primers',
+ 'choice:["disable", "truncate_only", "truncate_remove"]',
+ false,
+ 'disable',
+ 24,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'reverse_primer_mismatches',
+ 'integer',
+ false,
+ '0',
+ 25,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 2,
+ 'truncate_ambi_bases',
+ 'bool',
+ false,
+ 'False',
+ 26,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 3,
+ 'input_data',
+ 'artifact',
+ true,
+ NULL,
+ 27,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 3,
+ 'reference',
+ 'reference',
+ false,
+ '1',
+ 28,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 3,
+ 'sortmerna_e_value',
+ 'float',
+ false,
+ '1',
+ 29,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 3,
+ 'sortmerna_max_pos',
+ 'integer',
+ false,
+ '10000',
+ 30,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 3,
+ 'similarity',
+ 'float',
+ false,
+ '0.97',
+ 31,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 3,
+ 'sortmerna_coverage',
+ 'float',
+ false,
+ '0.97',
+ 32,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 3,
+ 'threads',
+ 'integer',
+ false,
+ '1',
+ 33,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (4, 'files', 'string', true, NULL, 35, NULL, false);
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 4,
+ 'artifact_type',
+ 'string',
+ true,
+ NULL,
+ 36,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 5,
+ 'input_data',
+ 'artifact',
+ true,
+ NULL,
+ 37,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 6,
+ 'template',
+ 'prep_template',
+ true,
+ NULL,
+ 38,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (6, 'files', 'string', true, NULL, 39, NULL, false);
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 6,
+ 'artifact_type',
+ 'string',
+ true,
+ NULL,
+ 40,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 7,
+ 'input_data',
+ 'artifact',
+ true,
+ NULL,
+ 41,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 1,
+ 'phred_offset',
+ 'choice:["auto", "33", "64"]',
+ false,
+ 'auto',
+ 42,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 4,
+ 'provenance',
+ 'string',
+ false,
+ NULL,
+ 43,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 6,
+ 'provenance',
+ 'string',
+ false,
+ NULL,
+ 44,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 4,
+ 'analysis',
+ 'analysis',
+ false,
+ NULL,
+ 45,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 4,
+ 'template',
+ 'prep_template',
+ false,
+ NULL,
+ 34,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 8,
+ 'analysis',
+ 'analysis',
+ true,
+ NULL,
+ 46,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 8,
+ 'merge_dup_sample_ids',
+ 'bool',
+ false,
+ 'False',
+ 47,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 9,
+ 'metadata_category',
+ 'string',
+ false,
+ '',
+ 48,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 9,
+ 'sort',
+ 'bool',
+ false,
+ 'False',
+ 49,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (10, 'tree', 'string', false, '', 50, NULL, false);
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 10,
+ 'metric',
+ 'choice:["abund_jaccard","binary_chisq","binary_chord","binary_euclidean","binary_hamming","binary_jaccard","binary_lennon","binary_ochiai","binary_otu_gain","binary_pearson","binary_sorensen_dice","bray_curtis","bray_curtis_faith","bray_curtis_magurran","canberra","chisq","chord","euclidean","gower","hellinger","kulczynski","manhattan","morisita_horn","pearson","soergel","spearman_approx","specprof","unifrac","unifrac_g","unifrac_g_full_tree","unweighted_unifrac","unweighted_unifrac_full_tree","weighted_normalized_unifrac","weighted_unifrac"]',
+ false,
+ '"binary_jaccard"',
+ 51,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (11, 'tree', 'string', false, '', 52, NULL, false);
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 11,
+ 'num_steps',
+ 'integer',
+ false,
+ '10',
+ 53,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 11,
+ 'min_rare_depth',
+ 'integer',
+ false,
+ '10',
+ 54,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 11,
+ 'max_rare_depth',
+ 'integer',
+ false,
+ 'Default',
+ 55,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 11,
+ 'metrics',
+ 'mchoice:["ace","berger_parker_d","brillouin_d","chao1","chao1_ci","dominance","doubles","enspie","equitability","esty_ci","fisher_alpha","gini_index","goods_coverage","heip_e","kempton_taylor_q","margalef","mcintosh_d","mcintosh_e","menhinick","michaelis_menten_fit","observed_otus","observed_species","osd","simpson_reciprocal","robbins","shannon","simpson","simpson_e","singles","strong","PD_whole_tree"]',
+ false,
+ '["chao1","observed_otus"]',
+ 56,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 12,
+ 'depth',
+ 'integer',
+ true,
+ NULL,
+ 57,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 12,
+ 'subsample_multinomial',
+ 'bool',
+ false,
+ 'False',
+ 58,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 9,
+ 'biom_table',
+ 'artifact',
+ true,
+ NULL,
+ 59,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 10,
+ 'biom_table',
+ 'artifact',
+ true,
+ NULL,
+ 60,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 11,
+ 'biom_table',
+ 'artifact',
+ true,
+ NULL,
+ 61,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 12,
+ 'biom_table',
+ 'artifact',
+ true,
+ NULL,
+ 62,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (13, 'job', 'string', true, NULL, 63, NULL, false);
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 14,
+ 'artifact',
+ 'integer',
+ true,
+ NULL,
+ 64,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 15,
+ 'artifact',
+ 'integer',
+ true,
+ NULL,
+ 65,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 15,
+ 'prep_template',
+ 'prep_template',
+ true,
+ NULL,
+ 66,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 16,
+ 'artifact',
+ 'integer',
+ true,
+ NULL,
+ 67,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 16,
+ 'submission_type',
+ 'choice:["ADD", "MODIFY"]',
+ false,
+ 'ADD',
+ 68,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 17,
+ 'artifact',
+ 'integer',
+ true,
+ NULL,
+ 69,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (18, 'fp', 'string', true, NULL, 70, NULL, false);
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 18,
+ 'study_id',
+ 'integer',
+ true,
+ NULL,
+ 71,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 18,
+ 'is_mapping_file',
+ 'boolean',
+ false,
+ 'true',
+ 72,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 18,
+ 'data_type',
+ 'string',
+ true,
+ NULL,
+ 73,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 19,
+ 'study',
+ 'integer',
+ true,
+ NULL,
+ 74,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 19,
+ 'template_fp',
+ 'string',
+ true,
+ NULL,
+ 75,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 20,
+ 'study',
+ 'integer',
+ true,
+ NULL,
+ 76,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 21,
+ 'study',
+ 'integer',
+ true,
+ NULL,
+ 77,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 22,
+ 'prep_template',
+ 'integer',
+ true,
+ NULL,
+ 78,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 22,
+ 'template_fp',
+ 'string',
+ true,
+ NULL,
+ 79,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 23,
+ 'obj_class',
+ 'choice:["SampleTemplate", "PrepTemplate"]',
+ true,
+ NULL,
+ 80,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 23,
+ 'obj_id',
+ 'integer',
+ true,
+ NULL,
+ 81,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 23,
+ 'sample_or_col',
+ 'choice:["samples", "columns"]',
+ true,
+ NULL,
+ 82,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (23, 'name', 'string', true, NULL, 83, NULL, false);
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 24,
+ 'job_id',
+ 'string',
+ true,
+ NULL,
+ 84,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 24,
+ 'payload',
+ 'string',
+ true,
+ NULL,
+ 85,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 4,
+ 'name',
+ 'string',
+ false,
+ 'default_name',
+ 86,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 6,
+ 'name',
+ 'string',
+ false,
+ 'default_name',
+ 87,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 25,
+ 'analysis_id',
+ 'integer',
+ true,
+ NULL,
+ 88,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 6,
+ 'analysis',
+ 'analysis',
+ false,
+ NULL,
+ 89,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (26, 'url', 'string', true, NULL, 90, NULL, false);
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 26,
+ 'private_key',
+ 'string',
+ true,
+ NULL,
+ 91,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 26,
+ 'study_id',
+ 'integer',
+ true,
+ NULL,
+ 92,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (27, 'url', 'string', true, NULL, 93, NULL, false);
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 27,
+ 'destination',
+ 'string',
+ true,
+ NULL,
+ 94,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 27,
+ 'private_key',
+ 'string',
+ true,
+ NULL,
+ 95,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 28,
+ 'download_source',
+ 'choice:["EBI-ENA", "SRA"]',
+ false,
+ 'EBI-ENA',
+ 96,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 28,
+ 'accession',
+ 'string',
+ false,
+ 'None',
+ 97,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.command_parameter
+VALUES
+ (
+ 8,
+ 'categories',
+ 'mchoice',
+ true,
+ NULL,
+ 98,
+ NULL,
+ false
+ );
--
-- Data for Name: controlled_vocab_values; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: default_parameter_set; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.default_parameter_set VALUES (8, 2, 'Defaults with Golay 12 barcodes', '{"min_seq_len":200,"max_seq_len":1000,"trim_seq_length":false,"min_qual_score":25,"max_ambig":6,"max_homopolymer":6,"max_primer_mismatch":0,"barcode_type":"golay_12","max_barcode_errors":1.5,"disable_bc_correction":false,"qual_score_window":0,"disable_primers":false,"reverse_primers":"disable","reverse_primer_mismatches":0,"truncate_ambi_bases":false}');
-INSERT INTO qiita.default_parameter_set VALUES (9, 2, 'Defaults with Hamming 8 barcodes', '{"min_seq_len":200,"max_seq_len":1000,"trim_seq_length":false,"min_qual_score":25,"max_ambig":6,"max_homopolymer":6,"max_primer_mismatch":0,"barcode_type":"hamming_8","max_barcode_errors":1.5,"disable_bc_correction":false,"qual_score_window":0,"disable_primers":false,"reverse_primers":"disable","reverse_primer_mismatches":0,"truncate_ambi_bases":false}');
-INSERT INTO qiita.default_parameter_set VALUES (10, 3, 'Defaults', '{"reference":1,"sortmerna_e_value":1,"sortmerna_max_pos":10000,"similarity":0.97,"sortmerna_coverage":0.97,"threads":1}');
-INSERT INTO qiita.default_parameter_set VALUES (11, 1, 'per sample FASTQ defaults, phred_offset 33', '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"not-barcoded","max_barcode_errors":1.5,"phred_offset":"33"}');
-INSERT INTO qiita.default_parameter_set VALUES (12, 1, 'per sample FASTQ defaults, phred_offset 64', '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"not-barcoded","max_barcode_errors":1.5,"phred_offset":"64"}');
-INSERT INTO qiita.default_parameter_set VALUES (1, 1, 'Defaults', '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"phred_offset":"auto"}');
-INSERT INTO qiita.default_parameter_set VALUES (2, 1, 'Defaults with reverse complement mapping file barcodes', '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":true,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"phred_offset":"auto"}');
-INSERT INTO qiita.default_parameter_set VALUES (3, 1, 'barcode_type 8, defaults', '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"8","max_barcode_errors":1.5,"phred_offset":"auto"}');
-INSERT INTO qiita.default_parameter_set VALUES (4, 1, 'barcode_type 8, reverse complement mapping file barcodes', '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":true,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"8","max_barcode_errors":1.5,"phred_offset":"auto"}');
-INSERT INTO qiita.default_parameter_set VALUES (5, 1, 'barcode_type 6, defaults', '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"6","max_barcode_errors":1.5,"phred_offset":"auto"}');
-INSERT INTO qiita.default_parameter_set VALUES (6, 1, 'barcode_type 6, reverse complement mapping file barcodes', '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":true,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"6","max_barcode_errors":1.5,"phred_offset":"auto"}');
-INSERT INTO qiita.default_parameter_set VALUES (7, 1, 'per sample FASTQ defaults', '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"not-barcoded","max_barcode_errors":1.5,"phred_offset":"auto"}');
-INSERT INTO qiita.default_parameter_set VALUES (13, 9, 'Defaults', '{"sort": false, "metadata_category": ""}');
-INSERT INTO qiita.default_parameter_set VALUES (14, 10, 'Unweighted UniFrac', '{"metric": "unweighted_unifrac", "tree": ""}');
-INSERT INTO qiita.default_parameter_set VALUES (15, 11, 'Defaults', '{"max_rare_depth": "Default", "tree": "", "num_steps": 10, "min_rare_depth": 10, "metrics": ["chao1", "observed_otus"]}');
-INSERT INTO qiita.default_parameter_set VALUES (16, 12, 'Defaults', '{"subsample_multinomial": "False"}');
-
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 8,
+ 2,
+ 'Defaults with Golay 12 barcodes',
+ '{"min_seq_len":200,"max_seq_len":1000,"trim_seq_length":false,"min_qual_score":25,"max_ambig":6,"max_homopolymer":6,"max_primer_mismatch":0,"barcode_type":"golay_12","max_barcode_errors":1.5,"disable_bc_correction":false,"qual_score_window":0,"disable_primers":false,"reverse_primers":"disable","reverse_primer_mismatches":0,"truncate_ambi_bases":false}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 9,
+ 2,
+ 'Defaults with Hamming 8 barcodes',
+ '{"min_seq_len":200,"max_seq_len":1000,"trim_seq_length":false,"min_qual_score":25,"max_ambig":6,"max_homopolymer":6,"max_primer_mismatch":0,"barcode_type":"hamming_8","max_barcode_errors":1.5,"disable_bc_correction":false,"qual_score_window":0,"disable_primers":false,"reverse_primers":"disable","reverse_primer_mismatches":0,"truncate_ambi_bases":false}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 10,
+ 3,
+ 'Defaults',
+ '{"reference":1,"sortmerna_e_value":1,"sortmerna_max_pos":10000,"similarity":0.97,"sortmerna_coverage":0.97,"threads":1}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 11,
+ 1,
+ 'per sample FASTQ defaults, phred_offset 33',
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"not-barcoded","max_barcode_errors":1.5,"phred_offset":"33"}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 12,
+ 1,
+ 'per sample FASTQ defaults, phred_offset 64',
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"not-barcoded","max_barcode_errors":1.5,"phred_offset":"64"}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 1,
+ 1,
+ 'Defaults',
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"phred_offset":"auto"}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 2,
+ 1,
+ 'Defaults with reverse complement mapping file barcodes',
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":true,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"golay_12","max_barcode_errors":1.5,"phred_offset":"auto"}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 3,
+ 1,
+ 'barcode_type 8, defaults',
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"8","max_barcode_errors":1.5,"phred_offset":"auto"}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 4,
+ 1,
+ 'barcode_type 8, reverse complement mapping file barcodes',
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":true,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"8","max_barcode_errors":1.5,"phred_offset":"auto"}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 5,
+ 1,
+ 'barcode_type 6, defaults',
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"6","max_barcode_errors":1.5,"phred_offset":"auto"}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 6,
+ 1,
+ 'barcode_type 6, reverse complement mapping file barcodes',
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":true,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"6","max_barcode_errors":1.5,"phred_offset":"auto"}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 7,
+ 1,
+ 'per sample FASTQ defaults',
+ '{"max_bad_run_length":3,"min_per_read_length_fraction":0.75,"sequence_max_n":0,"rev_comp_barcode":false,"rev_comp_mapping_barcodes":false,"rev_comp":false,"phred_quality_threshold":3,"barcode_type":"not-barcoded","max_barcode_errors":1.5,"phred_offset":"auto"}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 13,
+ 9,
+ 'Defaults',
+ '{"sort": false, "metadata_category": ""}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 14,
+ 10,
+ 'Unweighted UniFrac',
+ '{"metric": "unweighted_unifrac", "tree": ""}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 15,
+ 11,
+ 'Defaults',
+ '{"max_rare_depth": "Default", "tree": "", "num_steps": 10, "min_rare_depth": 10, "metrics": ["chao1", "observed_otus"]}'
+ );
+
+INSERT INTO
+ qiita.default_parameter_set
+VALUES
+ (
+ 16,
+ 12,
+ 'Defaults',
+ '{"subsample_multinomial": "False"}'
+ );
--
-- Data for Name: default_workflow; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.default_workflow VALUES (3, 'Per sample FASTQ upstream workflow', true, NULL, 3, '{"prep": {}, "sample": {}}');
-INSERT INTO qiita.default_workflow VALUES (1, 'FASTQ upstream workflow', true, 'This accepts html Qiita!
BYE!', 3, '{"prep": {}, "sample": {}}');
-INSERT INTO qiita.default_workflow VALUES (2, 'FASTA upstream workflow', true, 'This is another description', 3, '{"prep": {}, "sample": {}}');
-
+INSERT INTO
+ qiita.default_workflow
+VALUES
+ (
+ 3,
+ 'Per sample FASTQ upstream workflow',
+ true,
+ NULL,
+ 3,
+ '{"prep": {}, "sample": {}}'
+ );
+
+INSERT INTO
+ qiita.default_workflow
+VALUES
+ (
+ 1,
+ 'FASTQ upstream workflow',
+ true,
+ 'This accepts html Qiita!
BYE!',
+ 3,
+ '{"prep": {}, "sample": {}}'
+ );
+
+INSERT INTO
+ qiita.default_workflow
+VALUES
+ (
+ 2,
+ 'FASTA upstream workflow',
+ true,
+ 'This is another description',
+ 3,
+ '{"prep": {}, "sample": {}}'
+ );
--
-- Data for Name: default_workflow_data_type; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.default_workflow_data_type
+VALUES
+ (1, 1);
+
+INSERT INTO
+ qiita.default_workflow_data_type
+VALUES
+ (1, 2);
-INSERT INTO qiita.default_workflow_data_type VALUES (1, 1);
-INSERT INTO qiita.default_workflow_data_type VALUES (1, 2);
-INSERT INTO qiita.default_workflow_data_type VALUES (2, 2);
-INSERT INTO qiita.default_workflow_data_type VALUES (3, 3);
+INSERT INTO
+ qiita.default_workflow_data_type
+VALUES
+ (2, 2);
+INSERT INTO
+ qiita.default_workflow_data_type
+VALUES
+ (3, 3);
--
-- Data for Name: default_workflow_node; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.default_workflow_node
+VALUES
+ (1, 1, 1);
-INSERT INTO qiita.default_workflow_node VALUES (1, 1, 1);
-INSERT INTO qiita.default_workflow_node VALUES (2, 1, 10);
-INSERT INTO qiita.default_workflow_node VALUES (3, 2, 8);
-INSERT INTO qiita.default_workflow_node VALUES (4, 2, 10);
-INSERT INTO qiita.default_workflow_node VALUES (5, 3, 7);
-INSERT INTO qiita.default_workflow_node VALUES (6, 3, 10);
+INSERT INTO
+ qiita.default_workflow_node
+VALUES
+ (2, 1, 10);
+INSERT INTO
+ qiita.default_workflow_node
+VALUES
+ (3, 2, 8);
+
+INSERT INTO
+ qiita.default_workflow_node
+VALUES
+ (4, 2, 10);
+
+INSERT INTO
+ qiita.default_workflow_node
+VALUES
+ (5, 3, 7);
+
+INSERT INTO
+ qiita.default_workflow_node
+VALUES
+ (6, 3, 10);
--
-- Data for Name: default_workflow_edge; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.default_workflow_edge
+VALUES
+ (1, 1, 2);
-INSERT INTO qiita.default_workflow_edge VALUES (1, 1, 2);
-INSERT INTO qiita.default_workflow_edge VALUES (2, 3, 4);
-INSERT INTO qiita.default_workflow_edge VALUES (3, 5, 6);
+INSERT INTO
+ qiita.default_workflow_edge
+VALUES
+ (2, 3, 4);
+INSERT INTO
+ qiita.default_workflow_edge
+VALUES
+ (3, 5, 6);
--
-- Data for Name: default_workflow_edge_connections; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.default_workflow_edge_connections
+VALUES
+ (1, 1, 27);
-INSERT INTO qiita.default_workflow_edge_connections VALUES (1, 1, 27);
-INSERT INTO qiita.default_workflow_edge_connections VALUES (2, 2, 27);
-INSERT INTO qiita.default_workflow_edge_connections VALUES (3, 1, 27);
+INSERT INTO
+ qiita.default_workflow_edge_connections
+VALUES
+ (2, 2, 27);
+INSERT INTO
+ qiita.default_workflow_edge_connections
+VALUES
+ (3, 1, 27);
--
-- Data for Name: download_link; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: ebi_run_accession; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKB1.640202', 'ERR0000001', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKB2.640194', 'ERR0000002', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKB3.640195', 'ERR0000003', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKB4.640189', 'ERR0000004', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKB5.640181', 'ERR0000005', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKB6.640176', 'ERR0000006', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKB7.640196', 'ERR0000007', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKB8.640193', 'ERR0000008', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKB9.640200', 'ERR0000009', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKD1.640179', 'ERR0000010', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKD2.640178', 'ERR0000011', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKD3.640198', 'ERR0000012', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKD4.640185', 'ERR0000013', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKD5.640186', 'ERR0000014', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKD6.640190', 'ERR0000015', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKD7.640191', 'ERR0000016', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKD8.640184', 'ERR0000017', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKD9.640182', 'ERR0000018', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKM1.640183', 'ERR0000019', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKM2.640199', 'ERR0000020', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKM3.640197', 'ERR0000021', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKM4.640180', 'ERR0000022', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKM5.640177', 'ERR0000023', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKM6.640187', 'ERR0000024', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKM7.640188', 'ERR0000025', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKM8.640201', 'ERR0000026', 2);
-INSERT INTO qiita.ebi_run_accession VALUES ('1.SKM9.640192', 'ERR0000027', 2);
-
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKB1.640202', 'ERR0000001', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKB2.640194', 'ERR0000002', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKB3.640195', 'ERR0000003', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKB4.640189', 'ERR0000004', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKB5.640181', 'ERR0000005', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKB6.640176', 'ERR0000006', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKB7.640196', 'ERR0000007', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKB8.640193', 'ERR0000008', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKB9.640200', 'ERR0000009', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKD1.640179', 'ERR0000010', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKD2.640178', 'ERR0000011', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKD3.640198', 'ERR0000012', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKD4.640185', 'ERR0000013', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKD5.640186', 'ERR0000014', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKD6.640190', 'ERR0000015', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKD7.640191', 'ERR0000016', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKD8.640184', 'ERR0000017', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKD9.640182', 'ERR0000018', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKM1.640183', 'ERR0000019', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKM2.640199', 'ERR0000020', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKM3.640197', 'ERR0000021', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKM4.640180', 'ERR0000022', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKM5.640177', 'ERR0000023', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKM6.640187', 'ERR0000024', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKM7.640188', 'ERR0000025', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKM8.640201', 'ERR0000026', 2);
+
+INSERT INTO
+ qiita.ebi_run_accession
+VALUES
+ ('1.SKM9.640192', 'ERR0000027', 2);
--
-- Data for Name: environmental_package; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.environmental_package VALUES ('air', 'ep_air');
-INSERT INTO qiita.environmental_package VALUES ('built environment', 'ep_built_environment');
-INSERT INTO qiita.environmental_package VALUES ('host-associated', 'ep_host_associated');
-INSERT INTO qiita.environmental_package VALUES ('human-amniotic-fluid', 'ep_human_amniotic_fluid');
-INSERT INTO qiita.environmental_package VALUES ('human-associated', 'ep_human_associated');
-INSERT INTO qiita.environmental_package VALUES ('human-blood', 'ep_human_blood');
-INSERT INTO qiita.environmental_package VALUES ('human-gut', 'ep_human_gut');
-INSERT INTO qiita.environmental_package VALUES ('human-oral', 'ep_human_oral');
-INSERT INTO qiita.environmental_package VALUES ('human-skin', 'ep_human_skin');
-INSERT INTO qiita.environmental_package VALUES ('human-urine', 'ep_human_urine');
-INSERT INTO qiita.environmental_package VALUES ('human-vaginal', 'ep_human_vaginal');
-INSERT INTO qiita.environmental_package VALUES ('microbial mat/biofilm', 'ep_microbial_mat_biofilm');
-INSERT INTO qiita.environmental_package VALUES ('miscellaneous natural or artificial environment', 'ep_misc_artif');
-INSERT INTO qiita.environmental_package VALUES ('plant-associated', 'ep_plant_associated');
-INSERT INTO qiita.environmental_package VALUES ('sediment', 'ep_sediment');
-INSERT INTO qiita.environmental_package VALUES ('soil', 'ep_soil');
-INSERT INTO qiita.environmental_package VALUES ('wastewater/sludge', 'ep_wastewater_sludge');
-INSERT INTO qiita.environmental_package VALUES ('water', 'ep_water');
-
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('air', 'ep_air');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('built environment', 'ep_built_environment');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('host-associated', 'ep_host_associated');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('human-amniotic-fluid', 'ep_human_amniotic_fluid');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('human-associated', 'ep_human_associated');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('human-blood', 'ep_human_blood');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('human-gut', 'ep_human_gut');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('human-oral', 'ep_human_oral');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('human-skin', 'ep_human_skin');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('human-urine', 'ep_human_urine');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('human-vaginal', 'ep_human_vaginal');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ (
+ 'microbial mat/biofilm',
+ 'ep_microbial_mat_biofilm'
+ );
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ (
+ 'miscellaneous natural or artificial environment',
+ 'ep_misc_artif'
+ );
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('plant-associated', 'ep_plant_associated');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('sediment', 'ep_sediment');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('soil', 'ep_soil');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('wastewater/sludge', 'ep_wastewater_sludge');
+
+INSERT INTO
+ qiita.environmental_package
+VALUES
+ ('water', 'ep_water');
--
-- Data for Name: investigation; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.investigation VALUES (1, 'TestInvestigation', 'An investigation for testing purposes', 3);
-
+INSERT INTO
+ qiita.investigation
+VALUES
+ (
+ 1,
+ 'TestInvestigation',
+ 'An investigation for testing purposes',
+ 3
+ );
--
-- Data for Name: investigation_study; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.investigation_study VALUES (1, 1);
-
+INSERT INTO
+ qiita.investigation_study
+VALUES
+ (1, 1);
--
-- Data for Name: message; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.message VALUES (1, 'message 1', '2024-05-03 12:08:36.627074', NULL);
-INSERT INTO qiita.message VALUES (2, 'Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque sed auctor ex, non placerat sapien. Vestibulum vestibulum massa ut sapien condimentum, cursus consequat diam sodales. Nulla aliquam arcu ut massa auctor, et vehicula mauris tempor. In lacinia viverra ante quis pellentesque. Nunc vel mi accumsan, porttitor eros ut, pharetra elit. Nulla ac nisi quis dui egestas malesuada vitae ut mauris. Morbi blandit non nisl a finibus. In erat velit, congue at ipsum sit amet, venenatis bibendum sem. Curabitur vel odio sed est rutrum rutrum. Quisque efficitur ut purus in ultrices. Pellentesque eu auctor justo.', '2024-05-03 12:08:36.627074', NULL);
-INSERT INTO qiita.message VALUES (3, 'message 3', '2024-05-03 12:08:36.627074', NULL);
-
+INSERT INTO
+ qiita.message
+VALUES
+ (
+ 1,
+ 'message 1',
+ '2024-05-03 12:08:36.627074',
+ NULL
+ );
+
+INSERT INTO
+ qiita.message
+VALUES
+ (
+ 2,
+ 'Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque sed auctor ex, non placerat sapien. Vestibulum vestibulum massa ut sapien condimentum, cursus consequat diam sodales. Nulla aliquam arcu ut massa auctor, et vehicula mauris tempor. In lacinia viverra ante quis pellentesque. Nunc vel mi accumsan, porttitor eros ut, pharetra elit. Nulla ac nisi quis dui egestas malesuada vitae ut mauris. Morbi blandit non nisl a finibus. In erat velit, congue at ipsum sit amet, venenatis bibendum sem. Curabitur vel odio sed est rutrum rutrum. Quisque efficitur ut purus in ultrices. Pellentesque eu auctor justo.',
+ '2024-05-03 12:08:36.627074',
+ NULL
+ );
+
+INSERT INTO
+ qiita.message
+VALUES
+ (
+ 3,
+ 'message 3',
+ '2024-05-03 12:08:36.627074',
+ NULL
+ );
--
-- Data for Name: message_user; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.message_user
+VALUES
+ ('test@foo.bar', 1, false);
-INSERT INTO qiita.message_user VALUES ('test@foo.bar', 1, false);
-INSERT INTO qiita.message_user VALUES ('shared@foo.bar', 1, false);
-INSERT INTO qiita.message_user VALUES ('test@foo.bar', 2, false);
-INSERT INTO qiita.message_user VALUES ('test@foo.bar', 3, false);
+INSERT INTO
+ qiita.message_user
+VALUES
+ ('shared@foo.bar', 1, false);
+INSERT INTO
+ qiita.message_user
+VALUES
+ ('test@foo.bar', 2, false);
+
+INSERT INTO
+ qiita.message_user
+VALUES
+ ('test@foo.bar', 3, false);
--
-- Data for Name: oauth_identifiers; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.oauth_identifiers VALUES ('8mL2V1gX1kK0gXuKpEhIhzaiVxrhLvJ0OjHkeqJHKjG3d6abU2', 'qbQolcKEJ64I4jUbMxILwuTFb7IOXlYMG78QnqgtvlpIEQdiGWLUmKplz2qfnZwy7d7hqjc73qntzKTONhY27wT6cKohnNuPuKMCTLOQgrJvD6eJ2lKWH1pZeGM2zMLucZcSzlTQjYhiZruUbMeZ13GjsuFBjyVOzF8HP4cQ4xQuA1Fr8N4Yf9yQn5VqcA1byCnMWaPV95FFokdUlFCUGGEeJVRKbEn5t7qAgUlwz0B6quZICHtpiKuVDl8lNZm');
-INSERT INTO qiita.oauth_identifiers VALUES ('ROeSvinuTLAggxQLrsa6ycCw0ZvbYaPk8DYHB5fb8J6CM3CavA', 'vvbBSxs2su0Vcx4Qt4pwgCGkiq7bOemXnxDhsntSTxj9PAIFyDFOG1rNxj9xPhF8ugPxacilgs5PrRj93mYhnKHSTvMM9ksfQ6GmV3GvtCX0gAAjtE29ChyT0DZzOhwumke2ip9lumyZbYZhWAgWyyuzCmsKqvNjAXJfY70juQaGn3ySTmNXtqnVT7HYmSJYsqY07FLuL0CV696dsrbEOBja8Xi6nlhkiQ4g6d2UI55PdqMEz1J0zKnLNiQirGL');
-INSERT INTO qiita.oauth_identifiers VALUES ('CTjfltNkjT7zpR9zvXqyhmaFPsaK4kml2x1gEuxfbv5oBCbFvn', 'uvkbakS8Zwdcd4LQUiC5rUbwAgvN6WIY8wex12Ve3sFEkeplwjxb3lTid76tpPfSGKmm3gGmfXberwtQ9Qjns82NC3x9qXZ1E85M3IXXP7DZQC1kHY24V6ftx7pJCFfTjSJEhHeZLV5Uigz08Oclo3uQCkDBWBeE42QHg9XHgIy7yeW90Z9OFPfucEWnMdodSuGAhoxtkpCK6t1QsVO1cXOrY0Vk3Yay3TrAqOpfW6008FFRzakbOqKRfTVTlrg');
-INSERT INTO qiita.oauth_identifiers VALUES ('DWelYzEYJYcZ4wlqUp0bHGXojrvZVz0CNBJvOqUKcrPQ5p4UqE', NULL);
-INSERT INTO qiita.oauth_identifiers VALUES ('19ndkO3oMKsoChjVVWluF7QkxHRfYhTKSFbAVt8IhK7gZgDaO4', 'J7FfQ7CQdOxuKhQAf1eoGgBAE81Ns8Gu3EKaWFm3IO2JKhAmmCWZuabe0O5Mp28s1');
-INSERT INTO qiita.oauth_identifiers VALUES ('yKDgajoKn5xlOA8tpo48Rq8mWJkH9z4LBCx2SvqWYLIryaan2u', '9xhU5rvzq8dHCEI5sSN95jesUULrZi6pT6Wuc71fDbFbsrnWarcSq56TJLN4kP4hH');
-INSERT INTO qiita.oauth_identifiers VALUES ('dHgaXDwq665ksFPqfIoD3Jt8KRXdSioTRa4lGa5mGDnz6JTIBf', 'xqx61SD4M2EWbaS0WYv3H1nIemkvEAMIn16XMLjy5rTCqi7opCcWbfLINEwtV48bQ');
-INSERT INTO qiita.oauth_identifiers VALUES ('4MOBzUBHBtUmwhaC258H7PS0rBBLyGQrVxGPgc9g305bvVhf6h', 'rFb7jwAb3UmSUN57Bjlsi4DTl2owLwRpwCc0SggRNEVb2Ebae2p5Umnq20rNMhmqN');
-
+INSERT INTO
+ qiita.oauth_identifiers
+VALUES
+ (
+ '8mL2V1gX1kK0gXuKpEhIhzaiVxrhLvJ0OjHkeqJHKjG3d6abU2',
+ 'qbQolcKEJ64I4jUbMxILwuTFb7IOXlYMG78QnqgtvlpIEQdiGWLUmKplz2qfnZwy7d7hqjc73qntzKTONhY27wT6cKohnNuPuKMCTLOQgrJvD6eJ2lKWH1pZeGM2zMLucZcSzlTQjYhiZruUbMeZ13GjsuFBjyVOzF8HP4cQ4xQuA1Fr8N4Yf9yQn5VqcA1byCnMWaPV95FFokdUlFCUGGEeJVRKbEn5t7qAgUlwz0B6quZICHtpiKuVDl8lNZm'
+ );
+
+INSERT INTO
+ qiita.oauth_identifiers
+VALUES
+ (
+ 'ROeSvinuTLAggxQLrsa6ycCw0ZvbYaPk8DYHB5fb8J6CM3CavA',
+ 'vvbBSxs2su0Vcx4Qt4pwgCGkiq7bOemXnxDhsntSTxj9PAIFyDFOG1rNxj9xPhF8ugPxacilgs5PrRj93mYhnKHSTvMM9ksfQ6GmV3GvtCX0gAAjtE29ChyT0DZzOhwumke2ip9lumyZbYZhWAgWyyuzCmsKqvNjAXJfY70juQaGn3ySTmNXtqnVT7HYmSJYsqY07FLuL0CV696dsrbEOBja8Xi6nlhkiQ4g6d2UI55PdqMEz1J0zKnLNiQirGL'
+ );
+
+INSERT INTO
+ qiita.oauth_identifiers
+VALUES
+ (
+ 'CTjfltNkjT7zpR9zvXqyhmaFPsaK4kml2x1gEuxfbv5oBCbFvn',
+ 'uvkbakS8Zwdcd4LQUiC5rUbwAgvN6WIY8wex12Ve3sFEkeplwjxb3lTid76tpPfSGKmm3gGmfXberwtQ9Qjns82NC3x9qXZ1E85M3IXXP7DZQC1kHY24V6ftx7pJCFfTjSJEhHeZLV5Uigz08Oclo3uQCkDBWBeE42QHg9XHgIy7yeW90Z9OFPfucEWnMdodSuGAhoxtkpCK6t1QsVO1cXOrY0Vk3Yay3TrAqOpfW6008FFRzakbOqKRfTVTlrg'
+ );
+
+INSERT INTO
+ qiita.oauth_identifiers
+VALUES
+ (
+ 'DWelYzEYJYcZ4wlqUp0bHGXojrvZVz0CNBJvOqUKcrPQ5p4UqE',
+ NULL
+ );
+
+INSERT INTO
+ qiita.oauth_identifiers
+VALUES
+ (
+ '19ndkO3oMKsoChjVVWluF7QkxHRfYhTKSFbAVt8IhK7gZgDaO4',
+ 'J7FfQ7CQdOxuKhQAf1eoGgBAE81Ns8Gu3EKaWFm3IO2JKhAmmCWZuabe0O5Mp28s1'
+ );
+
+INSERT INTO
+ qiita.oauth_identifiers
+VALUES
+ (
+ 'yKDgajoKn5xlOA8tpo48Rq8mWJkH9z4LBCx2SvqWYLIryaan2u',
+ '9xhU5rvzq8dHCEI5sSN95jesUULrZi6pT6Wuc71fDbFbsrnWarcSq56TJLN4kP4hH'
+ );
+
+INSERT INTO
+ qiita.oauth_identifiers
+VALUES
+ (
+ 'dHgaXDwq665ksFPqfIoD3Jt8KRXdSioTRa4lGa5mGDnz6JTIBf',
+ 'xqx61SD4M2EWbaS0WYv3H1nIemkvEAMIn16XMLjy5rTCqi7opCcWbfLINEwtV48bQ'
+ );
+
+INSERT INTO
+ qiita.oauth_identifiers
+VALUES
+ (
+ '4MOBzUBHBtUmwhaC258H7PS0rBBLyGQrVxGPgc9g305bvVhf6h',
+ 'rFb7jwAb3UmSUN57Bjlsi4DTl2owLwRpwCc0SggRNEVb2Ebae2p5Umnq20rNMhmqN'
+ );
--
-- Data for Name: oauth_software; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.oauth_software VALUES (1, 'yKDgajoKn5xlOA8tpo48Rq8mWJkH9z4LBCx2SvqWYLIryaan2u');
-INSERT INTO qiita.oauth_software VALUES (2, 'dHgaXDwq665ksFPqfIoD3Jt8KRXdSioTRa4lGa5mGDnz6JTIBf');
-INSERT INTO qiita.oauth_software VALUES (3, '4MOBzUBHBtUmwhaC258H7PS0rBBLyGQrVxGPgc9g305bvVhf6h');
-
+INSERT INTO
+ qiita.oauth_software
+VALUES
+ (
+ 1,
+ 'yKDgajoKn5xlOA8tpo48Rq8mWJkH9z4LBCx2SvqWYLIryaan2u'
+ );
+
+INSERT INTO
+ qiita.oauth_software
+VALUES
+ (
+ 2,
+ 'dHgaXDwq665ksFPqfIoD3Jt8KRXdSioTRa4lGa5mGDnz6JTIBf'
+ );
+
+INSERT INTO
+ qiita.oauth_software
+VALUES
+ (
+ 3,
+ '4MOBzUBHBtUmwhaC258H7PS0rBBLyGQrVxGPgc9g305bvVhf6h'
+ );
--
-- Data for Name: ontology; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.ontology VALUES (999999999, 'ENA', true, 'European Nucleotide Archive Submission Ontology', NULL, 'http://www.ebi.ac.uk/embl/Documentation/ENA-Reads.html', 'The ENA CV is to be used to annotate XML submissions to the ENA.', '2009-02-23');
-
+INSERT INTO
+ qiita.ontology
+VALUES
+ (
+ 999999999,
+ 'ENA',
+ true,
+ 'European Nucleotide Archive Submission Ontology',
+ NULL,
+ 'http://www.ebi.ac.uk/embl/Documentation/ENA-Reads.html',
+ 'The ENA CV is to be used to annotate XML submissions to the ENA.',
+ '2009-02-23'
+ );
--
-- Data for Name: parameter_artifact_type; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.parameter_artifact_type VALUES (1, 3);
-INSERT INTO qiita.parameter_artifact_type VALUES (1, 5);
-INSERT INTO qiita.parameter_artifact_type VALUES (11, 1);
-INSERT INTO qiita.parameter_artifact_type VALUES (11, 2);
-INSERT INTO qiita.parameter_artifact_type VALUES (11, 4);
-INSERT INTO qiita.parameter_artifact_type VALUES (27, 6);
-INSERT INTO qiita.parameter_artifact_type VALUES (59, 7);
-INSERT INTO qiita.parameter_artifact_type VALUES (60, 7);
-INSERT INTO qiita.parameter_artifact_type VALUES (61, 7);
-INSERT INTO qiita.parameter_artifact_type VALUES (62, 7);
-
+INSERT INTO
+ qiita.parameter_artifact_type
+VALUES
+ (1, 3);
+
+INSERT INTO
+ qiita.parameter_artifact_type
+VALUES
+ (1, 5);
+
+INSERT INTO
+ qiita.parameter_artifact_type
+VALUES
+ (11, 1);
+
+INSERT INTO
+ qiita.parameter_artifact_type
+VALUES
+ (11, 2);
+
+INSERT INTO
+ qiita.parameter_artifact_type
+VALUES
+ (11, 4);
+
+INSERT INTO
+ qiita.parameter_artifact_type
+VALUES
+ (27, 6);
+
+INSERT INTO
+ qiita.parameter_artifact_type
+VALUES
+ (59, 7);
+
+INSERT INTO
+ qiita.parameter_artifact_type
+VALUES
+ (60, 7);
+
+INSERT INTO
+ qiita.parameter_artifact_type
+VALUES
+ (61, 7);
+
+INSERT INTO
+ qiita.parameter_artifact_type
+VALUES
+ (62, 7);
--
-- Data for Name: parent_artifact; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.parent_artifact
+VALUES
+ (2, 1);
+
+INSERT INTO
+ qiita.parent_artifact
+VALUES
+ (3, 1);
+
+INSERT INTO
+ qiita.parent_artifact
+VALUES
+ (4, 2);
+
+INSERT INTO
+ qiita.parent_artifact
+VALUES
+ (5, 2);
-INSERT INTO qiita.parent_artifact VALUES (2, 1);
-INSERT INTO qiita.parent_artifact VALUES (3, 1);
-INSERT INTO qiita.parent_artifact VALUES (4, 2);
-INSERT INTO qiita.parent_artifact VALUES (5, 2);
-INSERT INTO qiita.parent_artifact VALUES (6, 2);
-INSERT INTO qiita.parent_artifact VALUES (9, 8);
+INSERT INTO
+ qiita.parent_artifact
+VALUES
+ (6, 2);
+INSERT INTO
+ qiita.parent_artifact
+VALUES
+ (9, 8);
--
-- Data for Name: parent_processing_job; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.parent_processing_job VALUES ('b72369f9-a886-4193-8d3d-f7b504168e75', 'd19f76ee-274e-4c1b-b3a2-a12d73507c55');
-
+INSERT INTO
+ qiita.parent_processing_job
+VALUES
+ (
+ 'b72369f9-a886-4193-8d3d-f7b504168e75',
+ 'd19f76ee-274e-4c1b-b3a2-a12d73507c55'
+ );
--
-- Data for Name: study_tags; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: per_study_tags; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: prep_1; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.prep_1 VALUES ('qiita_sample_column_names', '{"columns": ["barcode", "library_construction_protocol", "primer", "target_subfragment", "target_gene", "run_center", "run_prefix", "run_date", "experiment_center", "experiment_design_description", "experiment_title", "platform", "instrument_model", "samp_size", "sequencing_meth", "illumina_technology", "sample_center", "pcr_primers", "study_center", "center_name", "center_project_name", "emp_status"]}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKB1.640202', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GTCCGCAAGTTA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKB2.640194', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGTAGAGCTCTC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKB3.640195', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCTCTGAGAGCT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKB4.640189', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCTCGATGCAGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKB5.640181', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GCGGACTATTCA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKB6.640176', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGTGCACAATTG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKB7.640196', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGGCCTAAGTTC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKB8.640193', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AGCGCTCACATC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKB9.640200', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGGTTATGGCAC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKD1.640179', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGAGGTTCTGAT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKD2.640178', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AACTCCTGTGGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKD3.640198', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TAATGGTCGTAG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKD4.640185', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TTGCACCGTCGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKD5.640186', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGCTACAGACGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKD6.640190', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ATGGCCTGACTA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKD7.640191', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ACGCACATACAA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKD8.640184', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGAGTGGTCTGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKD9.640182', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GATAGCACTCGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKM1.640183', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TAGCGCGAACTT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKM2.640199', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CATACACGCACC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKM3.640197', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ACCTCAGTCAAG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKM4.640180', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TCGACCAAACAC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKM5.640177', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCACCCAGTAAC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKM6.640187', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ATATCGCGATGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKM7.640188', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGCCGGTAATCT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKM8.640201', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCGATGCCTTGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_1 VALUES ('1.SKM9.640192', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AGCAGGCACGAA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ 'qiita_sample_column_names',
+ '{"columns": ["barcode", "library_construction_protocol", "primer", "target_subfragment", "target_gene", "run_center", "run_prefix", "run_date", "experiment_center", "experiment_design_description", "experiment_title", "platform", "instrument_model", "samp_size", "sequencing_meth", "illumina_technology", "sample_center", "pcr_primers", "study_center", "center_name", "center_project_name", "emp_status"]}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKB1.640202',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GTCCGCAAGTTA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKB2.640194',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGTAGAGCTCTC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKB3.640195',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCTCTGAGAGCT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKB4.640189',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCTCGATGCAGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKB5.640181',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GCGGACTATTCA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKB6.640176',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGTGCACAATTG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKB7.640196',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGGCCTAAGTTC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKB8.640193',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AGCGCTCACATC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKB9.640200',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGGTTATGGCAC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKD1.640179',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGAGGTTCTGAT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKD2.640178',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AACTCCTGTGGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKD3.640198',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TAATGGTCGTAG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKD4.640185',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TTGCACCGTCGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKD5.640186',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGCTACAGACGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKD6.640190',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ATGGCCTGACTA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKD7.640191',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ACGCACATACAA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKD8.640184',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGAGTGGTCTGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKD9.640182',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GATAGCACTCGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKM1.640183',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TAGCGCGAACTT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKM2.640199',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CATACACGCACC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKM3.640197',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ACCTCAGTCAAG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKM4.640180',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TCGACCAAACAC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKM5.640177',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCACCCAGTAAC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKM6.640187',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ATATCGCGATGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKM7.640188',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGCCGGTAATCT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKM8.640201',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCGATGCCTTGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_1
+VALUES
+ (
+ '1.SKM9.640192',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AGCAGGCACGAA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
--
-- Data for Name: prep_2; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.prep_2 VALUES ('qiita_sample_column_names', '{"columns": ["barcode", "library_construction_protocol", "primer", "target_subfragment", "target_gene", "run_center", "run_prefix", "run_date", "experiment_center", "experiment_design_description", "experiment_title", "platform", "instrument_model", "samp_size", "sequencing_meth", "illumina_technology", "sample_center", "pcr_primers", "study_center", "center_name", "center_project_name", "emp_status"]}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKB1.640202', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GTCCGCAAGTTA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKB2.640194', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGTAGAGCTCTC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKB3.640195', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCTCTGAGAGCT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKB4.640189', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCTCGATGCAGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKB5.640181', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GCGGACTATTCA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKB6.640176', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGTGCACAATTG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKB7.640196', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGGCCTAAGTTC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKB8.640193', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AGCGCTCACATC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKB9.640200', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGGTTATGGCAC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKD1.640179', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGAGGTTCTGAT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKD2.640178', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AACTCCTGTGGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKD3.640198', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TAATGGTCGTAG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKD4.640185', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TTGCACCGTCGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKD5.640186', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGCTACAGACGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKD6.640190', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ATGGCCTGACTA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKD7.640191', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ACGCACATACAA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKD8.640184', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGAGTGGTCTGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKD9.640182', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GATAGCACTCGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKM1.640183', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TAGCGCGAACTT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKM2.640199', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CATACACGCACC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKM3.640197', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ACCTCAGTCAAG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKM4.640180', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TCGACCAAACAC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKM5.640177', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCACCCAGTAAC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKM6.640187', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ATATCGCGATGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKM7.640188', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGCCGGTAATCT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKM8.640201', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCGATGCCTTGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-INSERT INTO qiita.prep_2 VALUES ('1.SKM9.640192', '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AGCAGGCACGAA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}');
-
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ 'qiita_sample_column_names',
+ '{"columns": ["barcode", "library_construction_protocol", "primer", "target_subfragment", "target_gene", "run_center", "run_prefix", "run_date", "experiment_center", "experiment_design_description", "experiment_title", "platform", "instrument_model", "samp_size", "sequencing_meth", "illumina_technology", "sample_center", "pcr_primers", "study_center", "center_name", "center_project_name", "emp_status"]}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKB1.640202',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GTCCGCAAGTTA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKB2.640194',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGTAGAGCTCTC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKB3.640195',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCTCTGAGAGCT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKB4.640189',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CCTCGATGCAGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKB5.640181',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GCGGACTATTCA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKB6.640176',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGTGCACAATTG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKB7.640196',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGGCCTAAGTTC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKB8.640193',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AGCGCTCACATC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKB9.640200',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGGTTATGGCAC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKD1.640179',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CGAGGTTCTGAT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKD2.640178',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "AACTCCTGTGGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKD3.640198',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TAATGGTCGTAG", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKD4.640185',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TTGCACCGTCGA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKD5.640186',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGCTACAGACGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKD6.640190',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ATGGCCTGACTA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKD7.640191',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "ACGCACATACAA", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKD8.640184',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TGAGTGGTCTGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKD9.640182',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "GATAGCACTCGT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKM1.640183',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "TAGCGCGAACTT", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKM2.640199',
+ '{"primer": "GTGCCAGCMGCCGCGGTAA", "barcode": "CATACACGCACC", "platform": "Illumina", "run_date": "8/1/12", "samp_size": ".25,g", "emp_status": "EMP", "run_center": "ANL", "run_prefix": "s_G1_L001_sequences", "center_name": "ANL", "pcr_primers": "FWD:GTGCCAGCMGCCGCGGTAA; REV:GGACTACHVGGGTWTCTAAT", "target_gene": "16S rRNA", "study_center": "CCME", "sample_center": "ANL", "sequencing_meth": "Sequencing by synthesis", "experiment_title": "Cannabis Soil Microbiome", "instrument_model": "Illumina MiSeq", "experiment_center": "ANL", "target_subfragment": "V4", "center_project_name": null, "illumina_technology": "MiSeq", "experiment_design_description": "micro biome of soil and rhizosphere of cannabis plants from CA", "library_construction_protocol": "This analysis was done as in Caporaso et al 2011 Genome research. The PCR primers (F515/R806) were developed against the V4 region of the 16S rRNA (both bacteria and archaea), which we determined would yield optimal community clustering with reads of this length using a procedure similar to that of ref. 15. [For reference, this primer pair amplifies the region 533_786 in the Escherichia coli strain 83972 sequence (greengenes accession no. prokMSA_id:470367).] The reverse PCR primer is barcoded with a 12-base error-correcting Golay code to facilitate multiplexing of up to 1,500 samples per lane, and both PCR primers contain sequencer adapter regions."}'
+ );
+
+INSERT INTO
+ qiita.prep_2
+VALUES
+ (
+ '1.SKM3.640197',
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+ qiita.prep_template_sample
+VALUES
+ (2, '1.SKB4.640189', 'ERX0000020');
+
+INSERT INTO
+ qiita.prep_template_sample
+VALUES
+ (2, '1.SKD7.640191', 'ERX0000021');
+
+INSERT INTO
+ qiita.prep_template_sample
+VALUES
+ (2, '1.SKM6.640187', 'ERX0000022');
+
+INSERT INTO
+ qiita.prep_template_sample
+VALUES
+ (2, '1.SKD4.640185', 'ERX0000023');
+
+INSERT INTO
+ qiita.prep_template_sample
+VALUES
+ (2, '1.SKB3.640195', 'ERX0000024');
+
+INSERT INTO
+ qiita.prep_template_sample
+VALUES
+ (2, '1.SKB6.640176', 'ERX0000025');
+
+INSERT INTO
+ qiita.prep_template_sample
+VALUES
+ (2, '1.SKM1.640183', 'ERX0000026');
--
-- Data for Name: preparation_artifact; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.preparation_artifact
+VALUES
+ (1, 1);
+
+INSERT INTO
+ qiita.preparation_artifact
+VALUES
+ (1, 2);
-INSERT INTO qiita.preparation_artifact VALUES (1, 1);
-INSERT INTO qiita.preparation_artifact VALUES (1, 2);
-INSERT INTO qiita.preparation_artifact VALUES (1, 3);
-INSERT INTO qiita.preparation_artifact VALUES (1, 4);
-INSERT INTO qiita.preparation_artifact VALUES (1, 5);
-INSERT INTO qiita.preparation_artifact VALUES (1, 6);
-INSERT INTO qiita.preparation_artifact VALUES (2, 7);
+INSERT INTO
+ qiita.preparation_artifact
+VALUES
+ (1, 3);
+INSERT INTO
+ qiita.preparation_artifact
+VALUES
+ (1, 4);
+
+INSERT INTO
+ qiita.preparation_artifact
+VALUES
+ (1, 5);
+
+INSERT INTO
+ qiita.preparation_artifact
+VALUES
+ (1, 6);
+
+INSERT INTO
+ qiita.preparation_artifact
+VALUES
+ (2, 7);
--
-- Data for Name: processing_job_resource_allocation; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('REGISTER', 'single-core-8gb', 'REGISTER', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('default', 'single-core-8gb', 'RELEASE_VALIDATORS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('default', 'single-core-8gb', 'COMPLETE_JOBS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('default', 'multi-core-vlow', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('delete_analysis', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Calculate beta correlation', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('delete_sample_template', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('delete_study', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('delete_sample_or_column', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('create_sample_template', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('update_prep_template', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('copy_artifact', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('delete_artifact', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('download_remote_files', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('list_remote_files', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('submit_to_EBI', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Generate HTML summary', 'single-core-8gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('update_sample_template', 'single-core-16gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('build_analysis_files', 'single-core-16gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Custom-axis Emperor plot', 'single-core-16gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Calculate alpha correlation', 'single-core-16gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Summarize taxa', 'single-core-16gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Perform Principal Coordinates Analysis (PCoA)', 'single-core-16gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Split libraries', 'single-core-56gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Calculate alpha diversity', 'single-core-56gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Calculate beta diversity', 'single-core-56gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Calculate beta group significance', 'single-core-56gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Filter samples by metadata', 'single-core-56gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Rarefy features', 'single-core-56gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Validate', 'single-core-56gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Trimming', 'single-core-120gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 120gb --time 80:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Split libraries FASTQ', 'single-core-120gb', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 1 --mem 120gb --time 80:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Deblur', 'multi-core-low', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 5 --mem 96gb --time 130:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Shogun', 'multi-core-low', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 5 --mem 96gb --time 130:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Pick closed-reference OTUs', 'multi-core-high', 'RESOURCE_PARAMS_COMMAND', '-p qiita -N 1 -n 5 --mem 120gb --time 130:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Pick closed-reference OTUs', 'single-core-24gb', 'RELEASE_VALIDATORS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem 24gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Trimming', 'single-core-24gb', 'RELEASE_VALIDATORS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem 24gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Filter samples by metadata', 'single-core-24gb', 'RELEASE_VALIDATORS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem 24gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Rarefy features', 'single-core-24gb', 'RELEASE_VALIDATORS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem 24gb --time 50:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('BIOM', 'single-core-16gb', 'COMPLETE_JOBS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('alpha_vector', 'single-core-16gb', 'COMPLETE_JOBS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('distance_matrix', 'single-core-16gb', 'COMPLETE_JOBS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Demultiplexed', 'single-core-16gb', 'COMPLETE_JOBS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('ordination_results', 'single-core-16gb', 'COMPLETE_JOBS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('q2_visualization', 'single-core-16gb', 'COMPLETE_JOBS_RESOURCE_PARAM', '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('default', NULL, 'VALIDATOR', '-p qiita -N 1 -n 1 --mem 1gb --time 4:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('per_sample_FASTQ', NULL, 'VALIDATOR', '-p qiita -N 1 -n 5 --mem 2gb --time 10:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('ordination_results', NULL, 'VALIDATOR', '-p qiita -N 1 -n 1 --mem 10gb --time 2:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('Demultiplexed', NULL, 'VALIDATOR', '-p qiita -N 1 -n 5 --mem 25gb --time 150:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('distance_matrix', NULL, 'VALIDATOR', '-p qiita -N 1 -n 1 --mem 42gb --time 150:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('BIOM', NULL, 'VALIDATOR', '-p qiita -N 1 -n 1 --mem 90gb --time 150:00:00');
-INSERT INTO qiita.processing_job_resource_allocation VALUES ('alpha_vector', NULL, 'VALIDATOR', '-p qiita -N 1 -n 1 --mem 10gb --time 70:00:00');
-
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'REGISTER',
+ 'single-core-8gb',
+ 'REGISTER',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'default',
+ 'single-core-8gb',
+ 'RELEASE_VALIDATORS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'default',
+ 'single-core-8gb',
+ 'COMPLETE_JOBS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'default',
+ 'multi-core-vlow',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'delete_analysis',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Calculate beta correlation',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'delete_sample_template',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'delete_study',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'delete_sample_or_column',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'create_sample_template',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'update_prep_template',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'copy_artifact',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'delete_artifact',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'download_remote_files',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'list_remote_files',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'submit_to_EBI',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Generate HTML summary',
+ 'single-core-8gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'update_sample_template',
+ 'single-core-16gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'build_analysis_files',
+ 'single-core-16gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Custom-axis Emperor plot',
+ 'single-core-16gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Calculate alpha correlation',
+ 'single-core-16gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Summarize taxa',
+ 'single-core-16gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Perform Principal Coordinates Analysis (PCoA)',
+ 'single-core-16gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Split libraries',
+ 'single-core-56gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Calculate alpha diversity',
+ 'single-core-56gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Calculate beta diversity',
+ 'single-core-56gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Calculate beta group significance',
+ 'single-core-56gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Filter samples by metadata',
+ 'single-core-56gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Rarefy features',
+ 'single-core-56gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Validate',
+ 'single-core-56gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 60gb --time 25:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Trimming',
+ 'single-core-120gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 120gb --time 80:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Split libraries FASTQ',
+ 'single-core-120gb',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 1 --mem 120gb --time 80:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Deblur',
+ 'multi-core-low',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 5 --mem 96gb --time 130:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Shogun',
+ 'multi-core-low',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 5 --mem 96gb --time 130:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Pick closed-reference OTUs',
+ 'multi-core-high',
+ 'RESOURCE_PARAMS_COMMAND',
+ '-p qiita -N 1 -n 5 --mem 120gb --time 130:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Pick closed-reference OTUs',
+ 'single-core-24gb',
+ 'RELEASE_VALIDATORS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem 24gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Trimming',
+ 'single-core-24gb',
+ 'RELEASE_VALIDATORS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem 24gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Filter samples by metadata',
+ 'single-core-24gb',
+ 'RELEASE_VALIDATORS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem 24gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Rarefy features',
+ 'single-core-24gb',
+ 'RELEASE_VALIDATORS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem 24gb --time 50:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'BIOM',
+ 'single-core-16gb',
+ 'COMPLETE_JOBS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'alpha_vector',
+ 'single-core-16gb',
+ 'COMPLETE_JOBS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'distance_matrix',
+ 'single-core-16gb',
+ 'COMPLETE_JOBS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Demultiplexed',
+ 'single-core-16gb',
+ 'COMPLETE_JOBS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'ordination_results',
+ 'single-core-16gb',
+ 'COMPLETE_JOBS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'q2_visualization',
+ 'single-core-16gb',
+ 'COMPLETE_JOBS_RESOURCE_PARAM',
+ '-p qiita -N 1 -n 1 --mem 16gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'default',
+ NULL,
+ 'VALIDATOR',
+ '-p qiita -N 1 -n 1 --mem 1gb --time 4:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'per_sample_FASTQ',
+ NULL,
+ 'VALIDATOR',
+ '-p qiita -N 1 -n 5 --mem 2gb --time 10:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'ordination_results',
+ NULL,
+ 'VALIDATOR',
+ '-p qiita -N 1 -n 1 --mem 10gb --time 2:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'Demultiplexed',
+ NULL,
+ 'VALIDATOR',
+ '-p qiita -N 1 -n 5 --mem 25gb --time 150:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'distance_matrix',
+ NULL,
+ 'VALIDATOR',
+ '-p qiita -N 1 -n 1 --mem 42gb --time 150:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'BIOM',
+ NULL,
+ 'VALIDATOR',
+ '-p qiita -N 1 -n 1 --mem 90gb --time 150:00:00'
+ );
+
+INSERT INTO
+ qiita.processing_job_resource_allocation
+VALUES
+ (
+ 'alpha_vector',
+ NULL,
+ 'VALIDATOR',
+ '-p qiita -N 1 -n 1 --mem 10gb --time 70:00:00'
+ );
--
-- Data for Name: processing_job_validator; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: processing_job_workflow; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.processing_job_workflow
+VALUES
+ (
+ 1,
+ 'shared@foo.bar',
+ 'Testing processing workflow'
+ );
-INSERT INTO qiita.processing_job_workflow VALUES (1, 'shared@foo.bar', 'Testing processing workflow');
-INSERT INTO qiita.processing_job_workflow VALUES (2, 'test@foo.bar', 'Single node workflow');
-
+INSERT INTO
+ qiita.processing_job_workflow
+VALUES
+ (2, 'test@foo.bar', 'Single node workflow');
--
-- Data for Name: processing_job_workflow_root; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.processing_job_workflow_root
+VALUES
+ (1, 'b72369f9-a886-4193-8d3d-f7b504168e75');
-INSERT INTO qiita.processing_job_workflow_root VALUES (1, 'b72369f9-a886-4193-8d3d-f7b504168e75');
-INSERT INTO qiita.processing_job_workflow_root VALUES (2, 'ac653cb5-76a6-4a45-929e-eb9b2dee6b63');
-
+INSERT INTO
+ qiita.processing_job_workflow_root
+VALUES
+ (2, 'ac653cb5-76a6-4a45-929e-eb9b2dee6b63');
--
-- Data for Name: publication; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.publication
+VALUES
+ ('10.1038/nmeth.f.303', '20383131');
-INSERT INTO qiita.publication VALUES ('10.1038/nmeth.f.303', '20383131');
-INSERT INTO qiita.publication VALUES ('10.1186/2047-217X-1-7', '23587224');
-INSERT INTO qiita.publication VALUES ('10.100/123456', '123456');
-INSERT INTO qiita.publication VALUES ('10.100/7891011', '7891011');
+INSERT INTO
+ qiita.publication
+VALUES
+ ('10.1186/2047-217X-1-7', '23587224');
+INSERT INTO
+ qiita.publication
+VALUES
+ ('10.100/123456', '123456');
+
+INSERT INTO
+ qiita.publication
+VALUES
+ ('10.100/7891011', '7891011');
--
-- Data for Name: reference; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.reference
+VALUES
+ (1, 'Greengenes', '13_8', 6, 7, 8);
-INSERT INTO qiita.reference VALUES (1, 'Greengenes', '13_8', 6, 7, 8);
-INSERT INTO qiita.reference VALUES (2, 'Silva', 'test', 10, 11, NULL);
-
+INSERT INTO
+ qiita.reference
+VALUES
+ (2, 'Silva', 'test', 10, 11, NULL);
--
-- Data for Name: restrictions; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.restrictions VALUES ('study_sample', 'env_package', '{air,"built environment",host-associated,human-associated,human-skin,human-oral,human-gut,human-vaginal,"microbial mat/biofilm","misc environment",plant-associated,sediment,soil,wastewater/sludge,water}');
-INSERT INTO qiita.restrictions VALUES ('prep_template_sample', 'target_gene', '{"16S rRNA","18S rRNA",ITS1/2,LSU}');
-INSERT INTO qiita.restrictions VALUES ('prep_template_sample', 'target_subfragment', '{V3,V4,V6,V9,ITS1/2}');
-INSERT INTO qiita.restrictions VALUES ('prep_template_sample', 'instrument_model', '{"454 GS","454 GS 20","454 GS FLX","454 GS FLX+","454 GS FLX Titanium","454 GS Junior","Illumina Genome Analyzer","Illumina Genome Analyzer II","Illumina Genome Analyzer IIx","Illumina HiScanSQ","Illumina HiSeq 1000","Illumina HiSeq 1500","Illumina HiSeq 2000","Illumina HiSeq 2500","Illumina HiSeq 3000","Illumina HiSeq 4000","Illumina MiSeq","Illumina MiniSeq","Illumina NovaSeq 6000","NextSeq 500","NextSeq 550","Ion Torrent PGM","Ion Torrent Proton","Ion Torrent S5","Ion Torrent S5 XL",MinION,GridION,PromethION,unspecified}');
-INSERT INTO qiita.restrictions VALUES ('prep_template_sample', 'platform', '{FASTA,Illumina,Ion_Torrent,LS454,"Oxford Nanopore"}');
-
+INSERT INTO
+ qiita.restrictions
+VALUES
+ (
+ 'study_sample',
+ 'env_package',
+ '{air,"built environment",host-associated,human-associated,human-skin,human-oral,human-gut,human-vaginal,"microbial mat/biofilm","misc environment",plant-associated,sediment,soil,wastewater/sludge,water}'
+ );
+
+INSERT INTO
+ qiita.restrictions
+VALUES
+ (
+ 'prep_template_sample',
+ 'target_gene',
+ '{"16S rRNA","18S rRNA",ITS1/2,LSU}'
+ );
+
+INSERT INTO
+ qiita.restrictions
+VALUES
+ (
+ 'prep_template_sample',
+ 'target_subfragment',
+ '{V3,V4,V6,V9,ITS1/2}'
+ );
+
+INSERT INTO
+ qiita.restrictions
+VALUES
+ (
+ 'prep_template_sample',
+ 'instrument_model',
+ '{"454 GS","454 GS 20","454 GS FLX","454 GS FLX+","454 GS FLX Titanium","454 GS Junior","DNBSEQ-G400","DNBSEQ-T7","DNBSEQ-G800","Illumina Genome Analyzer","Illumina Genome Analyzer II","Illumina Genome Analyzer IIx","Illumina HiScanSQ","Illumina HiSeq 1000","Illumina HiSeq 1500","Illumina HiSeq 2000","Illumina HiSeq 2500","Illumina HiSeq 3000","Illumina HiSeq 4000","Illumina MiSeq","Illumina MiniSeq","Illumina NovaSeq 6000","NextSeq 500","NextSeq 550","Ion Torrent PGM","Ion Torrent Proton","Ion Torrent S5","Ion Torrent S5 XL",MinION,GridION,PromethION,unspecified}'
+ );
+
+INSERT INTO
+ qiita.restrictions
+VALUES
+ (
+ 'prep_template_sample',
+ 'platform',
+ '{DNBSEQ,FASTA,Illumina,Ion_Torrent,LS454,"Oxford Nanopore"}'
+ );
--
-- Data for Name: sample_1; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.sample_1 VALUES ('qiita_sample_column_names', '{"columns": ["season_environment", "assigned_from_geo", "texture", "taxon_id", "depth", "host_taxid", "common_name", "water_content_soil", "elevation", "temp", "tot_nitro", "samp_salinity", "altitude", "env_biome", "country", "ph", "anonymized_name", "tot_org_carb", "description_duplicate", "env_feature", "physical_specimen_location", "physical_specimen_remaining", "dna_extracted", "sample_type", "env_package", "collection_timestamp", "host_subject_id", "description", "latitude", "longitude", "scientific_name"]}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKM7.640188', '{"ph": "6.82", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "63.1 sand, 17.7 silt, 19.2 clay", "altitude": "0", "latitude": "60.1102854322", "taxon_id": "1118232", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "74.7123248382", "tot_nitro": "1.3", "host_taxid": "3483", "common_name": "root metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "3.31", "dna_extracted": "true", "samp_salinity": "7.44", "anonymized_name": "SKM7", "host_subject_id": "1001:B6", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.101", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Bucu Roots", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKD9.640182', '{"ph": "6.82", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "66 sand, 16.3 silt, 17.7 clay", "altitude": "0", "latitude": "23.1218032799", "taxon_id": "1118232", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "42.838497795", "tot_nitro": "1.51", "host_taxid": "3483", "common_name": "root metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "4.32", "dna_extracted": "true", "samp_salinity": "7.1", "anonymized_name": "SKD9", "host_subject_id": "1001:D3", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.178", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Diesel Root", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKM8.640201', '{"ph": "6.82", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "63.1 sand, 17.7 silt, 19.2 clay", "altitude": "0", "latitude": "3.21190859967", "taxon_id": "1118232", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "26.8138925876", "tot_nitro": "1.3", "host_taxid": "3483", "common_name": "root metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "3.31", "dna_extracted": "true", "samp_salinity": "7.44", "anonymized_name": "SKM8", "host_subject_id": "1001:D8", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.101", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Bucu Roots", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKB8.640193', '{"ph": "6.94", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "64.6 sand, 17.6 silt, 17.8 clay", "altitude": "0", "latitude": "74.0894932572", "taxon_id": "1118232", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "65.3283470202", "tot_nitro": "1.41", "host_taxid": "3483", "common_name": "root metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "5", "dna_extracted": "true", "samp_salinity": "7.15", "anonymized_name": "SKB8", "host_subject_id": "1001:M7", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.164", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Burmese root", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKD2.640178', '{"ph": "6.8", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "66 sand, 16.3 silt, 17.7 clay", "altitude": "0", "latitude": "53.5050692395", "taxon_id": "410658", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "31.6056761814", "tot_nitro": "1.51", "host_taxid": "3483", "common_name": "soil metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "4.32", "dna_extracted": "true", "samp_salinity": "7.1", "anonymized_name": "SKD2", "host_subject_id": "1001:B5", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.178", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Diesel bulk", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKM3.640197', '{"ph": "6.82", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "63.1 sand, 17.7 silt, 19.2 clay", "altitude": "0", "latitude": "Not applicable", "taxon_id": "410658", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "31.2003474585", "tot_nitro": "1.3", "host_taxid": "3483", "common_name": "soil metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "3.31", "dna_extracted": "true", "samp_salinity": "7.44", "anonymized_name": "SKM3", "host_subject_id": "1001:B7", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.101", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Bucu bulk", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKM4.640180', '{"ph": "6.82", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "63.1 sand, 17.7 silt, 19.2 clay", "altitude": "0", "latitude": "Not applicable", "taxon_id": "939928", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "Not applicable", "tot_nitro": "1.3", "host_taxid": "3483", "common_name": "rhizosphere metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "3.31", "dna_extracted": "true", "samp_salinity": "7.44", "anonymized_name": "SKM4", "host_subject_id": "1001:D2", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.101", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Bucu Rhizo", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKB9.640200', '{"ph": "6.8", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "64.6 sand, 17.6 silt, 17.8 clay", "altitude": "0", "latitude": "12.6245524972", "taxon_id": "1118232", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "96.0693176066", "tot_nitro": "1.41", "host_taxid": "3483", "common_name": "root metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "5", "dna_extracted": "true", "samp_salinity": "7.15", "anonymized_name": "SKB9", "host_subject_id": "1001:B3", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.164", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Burmese root", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKB4.640189', '{"ph": "6.94", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "64.6 sand, 17.6 silt, 17.8 clay", "altitude": "0", "latitude": "43.9614715197", "taxon_id": "939928", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "82.8516734159", "tot_nitro": "1.41", "host_taxid": "3483", "common_name": "rhizosphere metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "5", "dna_extracted": "true", "samp_salinity": "7.15", "anonymized_name": "SKB4", "host_subject_id": "1001:D7", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.164", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Burmese Rhizo", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKB5.640181', '{"ph": "6.94", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "64.6 sand, 17.6 silt, 17.8 clay", "altitude": "0", "latitude": "10.6655599093", "taxon_id": "939928", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "70.784770579", "tot_nitro": "1.41", "host_taxid": "3483", "common_name": "rhizosphere metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "5", "dna_extracted": "true", "samp_salinity": "7.15", "anonymized_name": "SKB5", "host_subject_id": "1001:M4", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.164", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Burmese Rhizo", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKB6.640176', '{"ph": "6.94", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "64.6 sand, 17.6 silt, 17.8 clay", "altitude": "0", "latitude": "78.3634273709", "taxon_id": "939928", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "74.423907894", "tot_nitro": "1.41", "host_taxid": "3483", "common_name": "rhizosphere metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "5", "dna_extracted": "true", "samp_salinity": "7.15", "anonymized_name": "SKB6", "host_subject_id": "1001:D5", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.164", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Burmese Rhizo", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKM2.640199', '{"ph": "6.82", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "63.1 sand, 17.7 silt, 19.2 clay", "altitude": "0", "latitude": "82.8302905615", "taxon_id": "410658", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "86.3615778099", "tot_nitro": "1.3", "host_taxid": "3483", "common_name": "soil metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "3.31", "dna_extracted": "true", "samp_salinity": "7.44", "anonymized_name": "SKM2", "host_subject_id": "1001:D4", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.101", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Bucu bulk", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
-INSERT INTO qiita.sample_1 VALUES ('1.SKM5.640177', '{"ph": "6.82", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "63.1 sand, 17.7 silt, 19.2 clay", "altitude": "0", "latitude": "44.9725384282", "taxon_id": "939928", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "66.1920014699", "tot_nitro": "1.3", "host_taxid": "3483", "common_name": "rhizosphere metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "3.31", "dna_extracted": "true", "samp_salinity": "7.44", "anonymized_name": "SKM5", "host_subject_id": "1001:M3", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.101", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Bucu Rhizo", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}');
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+ (
+ '1.SKM9.640192',
+ '{"ph": "6.82", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "63.1 sand, 17.7 silt, 19.2 clay", "altitude": "0", "latitude": "12.7065957714", "taxon_id": "1118232", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "84.9722975792", "tot_nitro": "1.3", "host_taxid": "3483", "common_name": "root metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "3.31", "dna_extracted": "true", "samp_salinity": "7.44", "anonymized_name": "SKM9", "host_subject_id": "1001:B8", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.101", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Bucu Roots", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}'
+ );
+
+INSERT INTO
+ qiita.sample_1
+VALUES
+ (
+ '1.SKM6.640187',
+ '{"ph": "6.82", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "63.1 sand, 17.7 silt, 19.2 clay", "altitude": "0", "latitude": "0.291867635913", "taxon_id": "939928", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "68.5945325743", "tot_nitro": "1.3", "host_taxid": "3483", "common_name": "rhizosphere metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "3.31", "dna_extracted": "true", "samp_salinity": "7.44", "anonymized_name": "SKM6", "host_subject_id": "1001:B2", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.101", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Bucu Rhizo", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}'
+ );
+
+INSERT INTO
+ qiita.sample_1
+VALUES
+ (
+ '1.SKD5.640186',
+ '{"ph": "6.8", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "66 sand, 16.3 silt, 17.7 clay", "altitude": "0", "latitude": "85.4121476399", "taxon_id": "939928", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "15.6526750776", "tot_nitro": "1.51", "host_taxid": "3483", "common_name": "rhizosphere metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "4.32", "dna_extracted": "true", "samp_salinity": "7.1", "anonymized_name": "SKD5", "host_subject_id": "1001:M1", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.178", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Diesel Rhizo", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}'
+ );
+
+INSERT INTO
+ qiita.sample_1
+VALUES
+ (
+ '1.SKD1.640179',
+ '{"ph": "6.8", "temp": "15", "depth": "0.15", "country": "GAZ:United States of America", "texture": "66 sand, 16.3 silt, 17.7 clay", "altitude": "0", "latitude": "68.0991287718", "taxon_id": "410658", "elevation": "114", "env_biome": "ENVO:Temperate grasslands, savannas, and shrubland biome", "longitude": "34.8360987059", "tot_nitro": "1.51", "host_taxid": "3483", "common_name": "soil metagenome", "description": "Cannabis Soil Microbiome", "env_feature": "ENVO:plant-associated habitat", "env_package": "soil", "sample_type": "ENVO:soil", "tot_org_carb": "4.32", "dna_extracted": "true", "samp_salinity": "7.1", "anonymized_name": "SKD1", "host_subject_id": "1001:M5", "scientific_name": "1118232", "assigned_from_geo": "n", "season_environment": "winter", "water_content_soil": "0.178", "collection_timestamp": "2011-11-11 13:00:00", "description_duplicate": "Diesel bulk", "physical_specimen_location": "ANL", "physical_specimen_remaining": "true"}'
+ );
--
-- Data for Name: sample_template_filepath; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.sample_template_filepath VALUES (1, 17);
+INSERT INTO
+ qiita.sample_template_filepath
+VALUES
+ (1, 17);
--
-- Data for Name: software_artifact_type; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.software_artifact_type
+VALUES
+ (2, 7);
+
+INSERT INTO
+ qiita.software_artifact_type
+VALUES
+ (3, 1);
+
+INSERT INTO
+ qiita.software_artifact_type
+VALUES
+ (3, 3);
+
+INSERT INTO
+ qiita.software_artifact_type
+VALUES
+ (3, 4);
+
+INSERT INTO
+ qiita.software_artifact_type
+VALUES
+ (3, 2);
-INSERT INTO qiita.software_artifact_type VALUES (2, 7);
-INSERT INTO qiita.software_artifact_type VALUES (3, 1);
-INSERT INTO qiita.software_artifact_type VALUES (3, 3);
-INSERT INTO qiita.software_artifact_type VALUES (3, 4);
-INSERT INTO qiita.software_artifact_type VALUES (3, 2);
-INSERT INTO qiita.software_artifact_type VALUES (3, 5);
-INSERT INTO qiita.software_artifact_type VALUES (3, 6);
+INSERT INTO
+ qiita.software_artifact_type
+VALUES
+ (3, 5);
+INSERT INTO
+ qiita.software_artifact_type
+VALUES
+ (3, 6);
--
-- Data for Name: software_publication; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.software_publication
+VALUES
+ (1, '10.1038/nmeth.f.303');
-INSERT INTO qiita.software_publication VALUES (1, '10.1038/nmeth.f.303');
-INSERT INTO qiita.software_publication VALUES (2, '10.1186/2047-217X-1-7');
-
+INSERT INTO
+ qiita.software_publication
+VALUES
+ (2, '10.1186/2047-217X-1-7');
--
-- Data for Name: stats_daily; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-
-
--
-- Data for Name: study_artifact; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.study_artifact
+VALUES
+ (1, 1);
-INSERT INTO qiita.study_artifact VALUES (1, 1);
-INSERT INTO qiita.study_artifact VALUES (1, 2);
-INSERT INTO qiita.study_artifact VALUES (1, 3);
-INSERT INTO qiita.study_artifact VALUES (1, 4);
-INSERT INTO qiita.study_artifact VALUES (1, 5);
-INSERT INTO qiita.study_artifact VALUES (1, 6);
-INSERT INTO qiita.study_artifact VALUES (1, 7);
+INSERT INTO
+ qiita.study_artifact
+VALUES
+ (1, 2);
+INSERT INTO
+ qiita.study_artifact
+VALUES
+ (1, 3);
+
+INSERT INTO
+ qiita.study_artifact
+VALUES
+ (1, 4);
+
+INSERT INTO
+ qiita.study_artifact
+VALUES
+ (1, 5);
+
+INSERT INTO
+ qiita.study_artifact
+VALUES
+ (1, 6);
+
+INSERT INTO
+ qiita.study_artifact
+VALUES
+ (1, 7);
--
-- Data for Name: study_environmental_package; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.study_environmental_package
+VALUES
+ (1, 'soil');
-INSERT INTO qiita.study_environmental_package VALUES (1, 'soil');
-INSERT INTO qiita.study_environmental_package VALUES (1, 'plant-associated');
-
+INSERT INTO
+ qiita.study_environmental_package
+VALUES
+ (1, 'plant-associated');
--
-- Data for Name: study_portal; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.study_portal VALUES (1, 1);
-
+INSERT INTO
+ qiita.study_portal
+VALUES
+ (1, 1);
--
-- Data for Name: study_prep_template; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.study_prep_template
+VALUES
+ (1, 1);
-INSERT INTO qiita.study_prep_template VALUES (1, 1);
-INSERT INTO qiita.study_prep_template VALUES (1, 2);
-
+INSERT INTO
+ qiita.study_prep_template
+VALUES
+ (1, 2);
--
-- Data for Name: study_publication; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
+INSERT INTO
+ qiita.study_publication
+VALUES
+ (1, '10.100/123456', true);
-INSERT INTO qiita.study_publication VALUES (1, '10.100/123456', true);
-INSERT INTO qiita.study_publication VALUES (1, '123456', false);
-INSERT INTO qiita.study_publication VALUES (1, '10.100/7891011', true);
-INSERT INTO qiita.study_publication VALUES (1, '7891011', false);
+INSERT INTO
+ qiita.study_publication
+VALUES
+ (1, '123456', false);
+INSERT INTO
+ qiita.study_publication
+VALUES
+ (1, '10.100/7891011', true);
+
+INSERT INTO
+ qiita.study_publication
+VALUES
+ (1, '7891011', false);
--
-- Data for Name: study_users; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.study_users VALUES (1, 'shared@foo.bar');
-
+INSERT INTO
+ qiita.study_users
+VALUES
+ (1, 'shared@foo.bar');
--
-- Data for Name: term; Type: TABLE DATA; Schema: qiita; Owner: antoniog
--
-
-INSERT INTO qiita.term VALUES (2052508974, 999999999, NULL, 'WGS', 'ENA:0000059', NULL, NULL, NULL, NULL, NULL, false);
-INSERT INTO qiita.term VALUES (2052508975, 999999999, NULL, 'Metagenomics', 'ENA:0000060', NULL, NULL, NULL, NULL, NULL, false);
-INSERT INTO qiita.term VALUES (2052508976, 999999999, NULL, 'AMPLICON', 'ENA:0000061', NULL, NULL, NULL, NULL, NULL, false);
-INSERT INTO qiita.term VALUES (2052508984, 999999999, NULL, 'RNA-Seq', 'ENA:0000070', NULL, NULL, NULL, NULL, NULL, false);
-INSERT INTO qiita.term VALUES (2052508987, 999999999, NULL, 'Other', 'ENA:0000069', NULL, NULL, NULL, NULL, NULL, false);
-
+INSERT INTO
+ qiita.term
+VALUES
+ (
+ 2052508974,
+ 999999999,
+ NULL,
+ 'WGS',
+ 'ENA:0000059',
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.term
+VALUES
+ (
+ 2052508975,
+ 999999999,
+ NULL,
+ 'Metagenomics',
+ 'ENA:0000060',
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.term
+VALUES
+ (
+ 2052508976,
+ 999999999,
+ NULL,
+ 'AMPLICON',
+ 'ENA:0000061',
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.term
+VALUES
+ (
+ 2052508984,
+ 999999999,
+ NULL,
+ 'RNA-Seq',
+ 'ENA:0000070',
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ false
+ );
+
+INSERT INTO
+ qiita.term
+VALUES
+ (
+ 2052508987,
+ 999999999,
+ NULL,
+ 'Other',
+ 'ENA:0000069',
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ NULL,
+ false
+ );
--
-- Name: analysis_analysis_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.analysis_analysis_id_seq', 10, true);
-
+SELECT
+ pg_catalog.setval ('qiita.analysis_analysis_id_seq', 10, true);
--
-- Name: archive_merging_scheme_archive_merging_scheme_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.archive_merging_scheme_archive_merging_scheme_id_seq', 1, false);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.archive_merging_scheme_archive_merging_scheme_id_seq',
+ 1,
+ false
+ );
--
-- Name: artifact_artifact_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.artifact_artifact_id_seq', 9, true);
-
+SELECT
+ pg_catalog.setval ('qiita.artifact_artifact_id_seq', 9, true);
--
-- Name: checksum_algorithm_checksum_algorithm_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.checksum_algorithm_checksum_algorithm_id_seq', 1, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.checksum_algorithm_checksum_algorithm_id_seq',
+ 1,
+ true
+ );
--
-- Name: column_controlled_vocabularies_controlled_vocab_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.column_controlled_vocabularies_controlled_vocab_id_seq', 1, false);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.column_controlled_vocabularies_controlled_vocab_id_seq',
+ 1,
+ false
+ );
--
-- Name: command_output_command_output_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.command_output_command_output_id_seq', 7, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.command_output_command_output_id_seq',
+ 7,
+ true
+ );
--
-- Name: command_parameter_command_parameter_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.command_parameter_command_parameter_id_seq', 98, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.command_parameter_command_parameter_id_seq',
+ 98,
+ true
+ );
--
-- Name: controlled_vocab_controlled_vocab_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.controlled_vocab_controlled_vocab_id_seq', 1, false);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.controlled_vocab_controlled_vocab_id_seq',
+ 1,
+ false
+ );
--
-- Name: controlled_vocab_values_vocab_value_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.controlled_vocab_values_vocab_value_id_seq', 1, false);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.controlled_vocab_values_vocab_value_id_seq',
+ 1,
+ false
+ );
--
-- Name: data_directory_data_directory_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.data_directory_data_directory_id_seq', 16, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.data_directory_data_directory_id_seq',
+ 16,
+ true
+ );
--
-- Name: data_type_data_type_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.data_type_data_type_id_seq', 12, true);
-
+SELECT
+ pg_catalog.setval ('qiita.data_type_data_type_id_seq', 12, true);
--
-- Name: default_parameter_set_default_parameter_set_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.default_parameter_set_default_parameter_set_id_seq', 16, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.default_parameter_set_default_parameter_set_id_seq',
+ 16,
+ true
+ );
--
-- Name: default_workflow_default_workflow_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.default_workflow_default_workflow_id_seq', 3, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.default_workflow_default_workflow_id_seq',
+ 3,
+ true
+ );
--
-- Name: default_workflow_edge_default_workflow_edge_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.default_workflow_edge_default_workflow_edge_id_seq', 3, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.default_workflow_edge_default_workflow_edge_id_seq',
+ 3,
+ true
+ );
--
-- Name: default_workflow_node_default_workflow_node_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.default_workflow_node_default_workflow_node_id_seq', 6, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.default_workflow_node_default_workflow_node_id_seq',
+ 6,
+ true
+ );
--
-- Name: filepath_data_directory_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.filepath_data_directory_id_seq', 1, false);
-
+SELECT
+ pg_catalog.setval ('qiita.filepath_data_directory_id_seq', 1, false);
--
-- Name: filepath_filepath_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.filepath_filepath_id_seq', 22, true);
-
+SELECT
+ pg_catalog.setval ('qiita.filepath_filepath_id_seq', 22, true);
--
-- Name: filepath_type_filepath_type_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.filepath_type_filepath_type_id_seq', 25, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.filepath_type_filepath_type_id_seq',
+ 25,
+ true
+ );
--
-- Name: filetype_filetype_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.filetype_filetype_id_seq', 10, true);
-
+SELECT
+ pg_catalog.setval ('qiita.filetype_filetype_id_seq', 10, true);
--
-- Name: investigation_investigation_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.investigation_investigation_id_seq', 1, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.investigation_investigation_id_seq',
+ 1,
+ true
+ );
--
-- Name: logging_logging_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.logging_logging_id_seq', 2, true);
-
+SELECT
+ pg_catalog.setval ('qiita.logging_logging_id_seq', 2, true);
--
-- Name: message_message_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.message_message_id_seq', 3, true);
-
+SELECT
+ pg_catalog.setval ('qiita.message_message_id_seq', 3, true);
--
-- Name: parameter_artifact_type_command_parameter_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.parameter_artifact_type_command_parameter_id_seq', 1, false);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.parameter_artifact_type_command_parameter_id_seq',
+ 1,
+ false
+ );
--
-- Name: portal_type_portal_type_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.portal_type_portal_type_id_seq', 3, true);
-
+SELECT
+ pg_catalog.setval ('qiita.portal_type_portal_type_id_seq', 3, true);
--
-- Name: prep_template_prep_template_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.prep_template_prep_template_id_seq', 2, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.prep_template_prep_template_id_seq',
+ 2,
+ true
+ );
--
-- Name: processing_job_status_processing_job_status_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.processing_job_status_processing_job_status_id_seq', 6, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.processing_job_status_processing_job_status_id_seq',
+ 6,
+ true
+ );
--
-- Name: processing_job_workflow_processing_job_workflow_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.processing_job_workflow_processing_job_workflow_id_seq', 2, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.processing_job_workflow_processing_job_workflow_id_seq',
+ 2,
+ true
+ );
--
-- Name: reference_reference_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.reference_reference_id_seq', 2, true);
-
+SELECT
+ pg_catalog.setval ('qiita.reference_reference_id_seq', 2, true);
--
-- Name: severity_severity_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.severity_severity_id_seq', 3, true);
-
+SELECT
+ pg_catalog.setval ('qiita.severity_severity_id_seq', 3, true);
--
-- Name: software_command_command_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.software_command_command_id_seq', 28, true);
-
+SELECT
+ pg_catalog.setval ('qiita.software_command_command_id_seq', 28, true);
--
-- Name: software_software_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.software_software_id_seq', 4, true);
-
+SELECT
+ pg_catalog.setval ('qiita.software_software_id_seq', 4, true);
--
-- Name: software_type_software_type_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.software_type_software_type_id_seq', 3, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.software_type_software_type_id_seq',
+ 3,
+ true
+ );
--
-- Name: study_person_study_person_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.study_person_study_person_id_seq', 3, true);
-
+SELECT
+ pg_catalog.setval ('qiita.study_person_study_person_id_seq', 3, true);
--
-- Name: study_status_study_status_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.study_status_study_status_id_seq', 5, true);
-
+SELECT
+ pg_catalog.setval ('qiita.study_status_study_status_id_seq', 5, true);
--
-- Name: study_study_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.study_study_id_seq', 1, true);
-
+SELECT
+ pg_catalog.setval ('qiita.study_study_id_seq', 1, true);
--
-- Name: term_term_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.term_term_id_seq', 1, false);
-
+SELECT
+ pg_catalog.setval ('qiita.term_term_id_seq', 1, false);
--
-- Name: timeseries_type_timeseries_type_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.timeseries_type_timeseries_type_id_seq', 10, true);
-
+SELECT
+ pg_catalog.setval (
+ 'qiita.timeseries_type_timeseries_type_id_seq',
+ 10,
+ true
+ );
--
-- Name: user_level_user_level_id_seq; Type: SEQUENCE SET; Schema: qiita; Owner: antoniog
--
-
-SELECT pg_catalog.setval('qiita.user_level_user_level_id_seq', 7, true);
-
+SELECT
+ pg_catalog.setval ('qiita.user_level_user_level_id_seq', 7, true);
--
-- PostgreSQL database dump complete
diff --git a/qiita_pet/support_files/doc/source/checklist-for-ebi-ena-submission.rst b/qiita_pet/support_files/doc/source/checklist-for-ebi-ena-submission.rst
index 67876d29f..ff8c3250d 100644
--- a/qiita_pet/support_files/doc/source/checklist-for-ebi-ena-submission.rst
+++ b/qiita_pet/support_files/doc/source/checklist-for-ebi-ena-submission.rst
@@ -177,6 +177,8 @@ Remember, metadata is the most important part for an analysis, without it we onl
+---------------------+----------------------------------------------------------------------------------------------------------+
| Platform | Valid instrument_model options |
+=====================+==========================================================================================================+
+ | ``DNBSEQ`` | ``DNBSEQ-G400``, ``DNBSEQ-T7``, ``DNBSEQ-G800`` |
+ +---------------------+----------------------------------------------------------------------------------------------------------+
| ``LS454`` | ``454 GS``, ``454 GS 20``, ``454 GS FLX``, ``454 GS FLX+``, ``454 GS FLX Titanium``, ``454 GS Junior``, |
| | ``454 GS Junior`` or ``unspecified`` |
+---------------------+----------------------------------------------------------------------------------------------------------+
diff --git a/qiita_ware/ebi.py b/qiita_ware/ebi.py
index 7c7861ec4..205aa642d 100644
--- a/qiita_ware/ebi.py
+++ b/qiita_ware/ebi.py
@@ -90,7 +90,8 @@ class EBISubmission(object):
valid_ebi_actions = ('ADD', 'VALIDATE', 'MODIFY')
valid_ebi_submission_states = ('submitting')
# valid_platforms dict of 'platform': ['valid_instrument_models']
- valid_platforms = {'LS454': ['454 GS', '454 GS 20', '454 GS FLX',
+ valid_platforms = {'DNBSEQ': ['DNBSEQ-G400', 'DNBSEQ-T7', 'DNBSEQ-G800'],
+ 'LS454': ['454 GS', '454 GS 20', '454 GS FLX',
'454 GS FLX+', '454 GS FLX TITANIUM',
'454 GS JUNIOR', 'UNSPECIFIED'],
'ION_TORRENT': ['ION TORRENT PGM', 'ION TORRENT PROTON',