/amplicon-seq-dada2

Snakemake pipeline for amplicon sequencing using dada2

Primary LanguagePythonMIT LicenseMIT

Snakemake workflow: Dada2

Snakemake Build Status

This is the template for a new Snakemake workflow. Replace this text with a comprehensive description covering the purpose and domain. Insert your code into the respective folders, i.e. scripts, rules, and envs. Define the entry point of the workflow in the Snakefile and the main configuration in the config.yaml file.

Authors

  • Silas Kieser (@silask)

Usage

Step 1: Install workflow

If you simply want to use this workflow, download and extract the latest release. If you intend to modify and further develop this workflow, fork this repository. Please consider providing any generally applicable modifications via a pull request.

In any case, if you use this workflow in a paper, don't forget to give credits to the authors by citing the URL of this repository and, if available, its DOI (see above).

Step 2: Configure workflow

Configure the workflow according to your needs via editing the file config.yaml.

Step 3: Execute workflow

Test your configuration by performing a dry-run via

snakemake -n

Execute the workflow locally via

snakemake --cores $N

using $N cores or run it in a cluster environment via

snakemake --cluster qsub --jobs 100

or

snakemake --drmaa --jobs 100

See the Snakemake documentation for further details.

Testing

Tests cases are in the subfolder .test. They should be executed via continuous integration with Travis CI.