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A workflow for creating small NGS test data sets, useful for continuous integration.

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Snakemake workflow: ngs-test-data

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This workflow creates small test datasets for NGS data analyses. The generated data is available in the folders ref and reads, such that the repository can be directly used as a git submodule for continuous integration tests.

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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 reposity. 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.

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A workflow for creating small NGS test data sets, useful for continuous integration.

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  • Python 100.0%