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q2-rgi

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QIIME 2 plugin for antimicrobial resistance gene annotation of MAGs and metagenomic reads.

Installation

To install q2-rgi, follow the steps described below.

macOS (intel) / Linux
mamba create -yn q2-rgi \
  -c https://packages.qiime2.org/qiime2/2024.2/shotgun/released/ \
  -c qiime2 -c conda-forge -c bioconda -c defaults \
  qiime2 q2cli q2templates q2-types q2-feature-table q2-demux rgi tqdm

conda activate q2-rgi

pip install --no-deps --force-reinstall \
  git+https://github.com/misialq/rgi.git@py38-fix \
  git+https://github.com/bokulich-lab/q2-rgi.git

Refresh cache and check that everything worked:

qiime dev refresh-cache
qiime info
macOS (apple silicon)
CONDA_SUBDIR=osx-64 mamba create -yn q2-rgi \
  -c https://packages.qiime2.org/qiime2/2024.2/shotgun/released/ \
  -c qiime2 -c conda-forge -c bioconda -c defaults \
  qiime2 q2cli q2templates q2-types q2-feature-table q2-demux rgi tqdm

conda activate q2-rgi
conda config --env --set subdir osx-64

pip install --no-deps --force-reinstall \
  git+https://github.com/misialq/rgi.git@py38-fix \
  git+https://github.com/bokulich-lab/q2-rgi.git

Refresh cache and check that everything worked:

qiime dev refresh-cache
qiime info

Functionality

This QIIME 2 plugin contains actions used to annotate short single/paired-end sequencing reads and MAGs with antimicrobial resistance genes. Currently, the CARD database is supported (for details on the implementation and usage, please refer to the rgi documentation). Below you will find an overview of actions available in the plugin.

Action Description Underlying tool Used function
fetch-card-db Download and preprocess CARD and WildCARD data. rgi card_annotation, wildcard_annotation
annotate-mags-card Annotate MAGs with antimicrobial resistance gene information from CARD. rgi main, load
annotate-reads-card Annotate metagenomic reads with antimicrobial resistance gene information from CARD. rgi bwt, load
heatmap Create a heatmap from annotate-mags-card output files. rgi heatmap
kmer-query-mags-card Pathogen-of-origin prediction for ARGs in MAGs. rgi kmer-query, load
kmer-query-reads-card Pathogen-of-origin prediction for ARGs in reads. rgi kmer-query, load
kmer-build-card Build a kmer database with a custom kmer length. rgi kmer-build

Dev environment

This repository follows the black code style. To make the development slightly easier there are a couple of pre-commit hooks included here that will ensure that your changes follow that formatting style. Before you start working on the code, please install the hooks by executing make dev in your conda environment. From then on, they will be run automatically every time you commit any changes.

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