This repository contains a nextflow workflow for the identification of variants causing anti-microbial resistance in Mycobacterium tuberculosis targeted sequencing data.
wf-tb-amr is a workflow for determining the antibiotic resistance of
Mycobacterium tuberculosis targeted sequencing samples. The workflow handles
multiplexed sequencing runs and provides clear and simple reports summarising
the predicted resistance profile of each sample according to genetic variants
### Workflow details
### Required inputs
Like all of our workflows you need to specify your input data. In this case data
must be provided in
.fastq(.gz) format and it must be demultiplexed.
This workflow also requires a sample sheet which identifies which samples on the
run are test samples and which are controls. The sample sheet must have three
barcode - the barcode of the sample (i.e. barcode02).
alias - the unique identifier you wish to use to refer to the sample.
type - the type of sample, this can be:
test_sample - the samples for which you wish to identify antimicrobial resistance.
positive_control - a sample known to be positive for MTB.
no_template_control - a PCR blank.
The controls are assessed for performance to determine the validity of the assay.
The workflow uses nextflow to manage compute and software resources, as such nextflow will need to be installed before attempting to run the workflow.
The workflow can currently be run using either Docker or [singularity]((https://docs.sylabs.io/guides/latest/user-guide/) to provide isolation of the required software. Both methods are automated out-of-the-box provided either docker or singularity is installed.
It is not required to clone or download the git repository in order to run the workflow. For more information on running EPI2ME Labs workflows visit out website.
To obtain the workflow, having installed
nextflow, users can run:
nextflow run epi2me-labs/wf-tb-amr --help
to see the options for the workflow.
The primary outputs of the workflow include: