Drax

<div align="center"> <img src="assets/misc/drax-logo-with-text.png" alt="drax-logo" width="250"> <h3><a style="color:#780200">D</a>etecting <a style="color:#780200">R</a>esistome <a style="color:#780200">A</a>ssociated ta<a style="color:#780200">X</a>a </h3> <hr> <a href="https://travis-ci.org/will-rowe/drax"><img src="https://travis-ci.org/will-rowe/drax.svg?branch=master" alt="travis"></a> <a href="https://www.nextflow.io"><img src="https://img.shields.io/badge/nextflow-%E2%89%A50.24.0-brightgreen.svg" alt="Nextflow"></a> <a href="https://github.com/will-rowe/drax/blob/master/LICENSE"><img src="https://img.shields.io/badge/license-MIT-orange.svg" alt="License"></a> </div>

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DRAX is currently under active development -- please check back soon.

Overview

DRAX is a Nextflow pipeline to detect resistome associated taxa in metagenomes. It identifies Antimicrobial Resistance Genes (ARGs) using GROOT, extracts the genomic environment of each ARG using Metacherchant and then performs taxonomic classification of assembled environments. Further pipeline steps and full documentation are being added.

Installation

Bioconda

For ease of use, the DRAX pipeline is called by a wrapper script that allows you to either download the required reference data, run the DRAX Nextflow pipeline or update the pipeline. It is easiest to install DRAX using Bioconda:

conda install drax -c bioconda

Containers

You can also run DRAX using containers instead of conda. This will bypass the wrapper script so you will need to download the required reference data yourself.

# Install Nextflow
curl -s https://get.nextflow.io | bash

# Run DRAX with Docker
./nextflow run will-rowe/drax --reads 'tests/*R{1,2}.fq.gz' -profile docker

# OR run DRAX with Singularity
./nextflow run will-rowe/drax --reads 'tests/*R{1,2}.fq.gz' -with-singularity 'docker://wpmr/drax'

Quick Start

The first time you use DRAX, you will need to get the required data:

drax get

• this will download several databases (masked hg19 for decontamination, ResFinder for GROOT, Kaiju RefSeq DB...)
• it can take a little while (databases total ~10GB compressed)
• you only need to do this once
• the default directory is ./DRAX-files but you can rename/move it later
• this command will also update the pipeline to the most current version

Now you can run DRAX:

drax --reads 'tests/*R{1,2}.fq.gz' --refData ./DRAX-files

For a full list of options, just run:

drax --help

Also, read the documentation for a more detailed overview of DRAX.

Workflow

Documentation

The DRAX pipeline comes with documentation about the pipeline, found in the docs directory. This is still being added to as the pipeline is developed.