These are the PEMA input/output files representing the source data for the first ARMS-MBON dataset submitted to EurOBIS (DOI): count and taxonomy tables, fasta files, and PEMA parameter files for the COI, 18S, and ITS marker gene sequence data for the events of ARMS-MBON's first sampling campaign (i.e. samples from all ARMS deployed in 2018 and 2019 and retrieved between and 2018 and 2020).
PEMA is the metabarcoding analysis pipeline we use to process the COI, 18S, and ITS raw sequence data obtained from the ARMS-MBON samples.
The raw sequences are deposted in ENA. Information on metadata regarding these can be found in the data workspace repo and on protocols on how sequences were generated can be found in SOPs.
The sequence data were processed separately for marker genes and MiSeq sequencing runs with the metabarcoding pipeline PEMA. Included in this repository are:
- The parameter files used as input for each PEMA processing run
- The read count and taxonomic assignment files output by PEMA
- The fasta files output by PEMA
PEMA was marker genes and MiSeq sequencing runs, and each PEMA run therefore has its own parameter, read count, taxonomic assignment, and fasta files. An overview of the processing - including the material sample IDs, ENA accession numbers, deployment dates and corresponding observatories etc. - from which one can identify which samples were processed in which group, is provided in pema_overview_COI_batch1.xlsx.
The full set of PEMA files (i.e., for all the ARMS-MBON processing we have done) can be found in ARMS GitHub working space. This analysis_release_001 repository is specifically the subset of those results representing processing_batch1.
Some of the PEMA processing metadata for the runs performed here. Further information can be found in the manuscript associated with data_release_001 and via the PEMA URL:
| parameter | value |
|---|---|
| PEMA URL | https://github.com/hariszaf/pema |
| PEMA version | v2.1.4 |
| ref database for taxonomy assignment | Midori v2.0 (COI), PR2 v.4.13.0 (18S), Unite v7.2 (ITS) |
| clustering algorithm | Swarm v2 (COI, ITS), VSEARCH v2.9.1 (18S) |