/
container.yaml
36 lines (36 loc) · 1.83 KB
/
container.yaml
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url: https://biocontainers.pro/tools/gnuvid
maintainer: '@vsoch'
description: shpc-registry automated BioContainers addition for gnuvid
latest:
2.4--hdfd78af_0: sha256:42db7365c34d8bc01d6f2ed63e40301c01eb95af76c6acb8dd203cb152b89391
tags:
2.4--hdfd78af_0: sha256:42db7365c34d8bc01d6f2ed63e40301c01eb95af76c6acb8dd203cb152b89391
docker: quay.io/biocontainers/gnuvid
aliases:
Clonal_complex_assigner.py: /usr/local/bin/Clonal_complex_assigner.py
Extract_US_genomes.py: /usr/local/bin/Extract_US_genomes.py
Extract_fasta_sequence_blast_report.py: /usr/local/bin/Extract_fasta_sequence_blast_report.py
GNUVID.py: /usr/local/bin/GNUVID.py
GNUVID_CCs_summary.py: /usr/local/bin/GNUVID_CCs_summary.py
GNUVID_FASTA_divider.py: /usr/local/bin/GNUVID_FASTA_divider.py
GNUVID_Post_CC_processor.py: /usr/local/bin/GNUVID_Post_CC_processor.py
GNUVID_Post_Training.py: /usr/local/bin/GNUVID_Post_Training.py
GNUVID_Predict.py: /usr/local/bin/GNUVID_Predict.py
GNUVID_Subsample_STs.py: /usr/local/bin/GNUVID_Subsample_STs.py
GNUVID_Training.py: /usr/local/bin/GNUVID_Training.py
GNUVID_database_customizer.py: /usr/local/bin/GNUVID_database_customizer.py
GNUVID_preprocessor.py: /usr/local/bin/GNUVID_preprocessor.py
GNUVID_update_db.py: /usr/local/bin/GNUVID_update_db.py
Metadata_piechart.py: /usr/local/bin/Metadata_piechart.py
Temporal_plot_Introductions_Importations.py: /usr/local/bin/Temporal_plot_Introductions_Importations.py
gofasta: /usr/local/bin/gofasta
filter-table: /usr/local/bin/filter-table
spdi2prod: /usr/local/bin/spdi2prod
mafft-sparsecore.rb: /usr/local/bin/mafft-sparsecore.rb
einsi: /usr/local/bin/einsi
fftns: /usr/local/bin/fftns
fftnsi: /usr/local/bin/fftnsi
ginsi: /usr/local/bin/ginsi
linsi: /usr/local/bin/linsi
mafft-distance: /usr/local/bin/mafft-distance
mafft-einsi: /usr/local/bin/mafft-einsi