Skip to content

A workflow that accelerates RGI ARG-like sequence identification

Notifications You must be signed in to change notification settings

jordangumm/arg_identifier

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Antibiotic Resistant Gene (ARG) Identifier

A workflow that accelerates identification of ARG-like sequences with CARD RGI. Built and tested on GNU/Linux.

Steps

  1. Filter fasta sequences for those that contain possible ARGs
  2. Run RGI against the filtered fasta file
  3. Create fasta file for each ARO with all predicted ARGs

Usage

Usage: runner.py [OPTIONS] CONTIGS_FASTA

  Analysis Workflow Management

  Sets up Pyflow WorkflowRunner and launches locally by default or via flux

Options:
  -r, --reference TEXT
  -o, --output TEXT
  --flux / --no-flux
  --dispatch / --no-dispatch
  -a, --account TEXT
  -p, --ppn INTEGER
  -m, --mem TEXT
  -w, --walltime TEXT
  --help                      Show this message and exit.

Install anaconda environment and dependencies

$ git clone https://github.com/jordangumm/arg_identifier.git
$ cd arg_identifier && ./build.sh

Run workflow

$ source ./dependencies/miniconda/bin/activate
$ python runner.py [CONTIGS_FASTA]

Run workflow on Flux

Depending on the size of the input fasta and/or reference, you may need to increase the memory --mem and processor count --ppn

$ source ./dependencies/miniconda/bin/activate
$ python runner.py [CONTIGS_FASTA] --flux --account [ACCOUNT]

About

A workflow that accelerates RGI ARG-like sequence identification

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published