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Analysis pipeline to detect germline or somatic variants from WGS / targeted sequencing

Home Page: https://nf-co.re/sarek

License: MIT License

Dockerfile 0.47% Nextflow 61.27% R 30.79% Python 5.15% HTML 0.89% Shell 1.43%

sarek's Introduction

Sarek

An open-source analysis pipeline to detect germline or somatic variants from whole genome or targeted sequencing

Nextflow nf-core DOI

GitHub Actions CI status GitHub Actions Linting status CircleCi build status

install with bioconda Docker Container available Install with Singularity

Join us on Slack

Introduction

Sarek is a workflow designed to run analyses on whole genome or targeted sequencing data from regular samples or tumour / normal pairs and could include additional relapses.

It's built using Nextflow, a domain specific language for workflow building, across multiple compute infrastructures in a very portable manner. Software dependencies are handled using Conda, Docker or Singularity - environment/container technologies that provide excellent reproducibility and ease of use. Thus making installation trivial and results highly reproducible.

It's listed on the Elixir - Tools and Data Services Registry, Dockstore and omicX - Bioinformatics tools.

Documentation

The nf-core/sarek pipeline comes with documentation about the pipeline, found in the docs/ directory:

  1. Installation
  2. Pipeline configuration
  3. Running the pipeline
  4. Output and how to interpret the results
  5. Troubleshooting

Credits

Sarek was developed at the National Genomics Infastructure and National Bioinformatics Infastructure Sweden which are both platforms at SciLifeLab, with the support of The Swedish Childhood Tumor Biobank (Barntumörbanken).

Main authors:

Helpful contributors:

Contributions & Support

If you would like to contribute to this pipeline, please see the contributing guidelines.

For further information or help, don't hesitate to get in touch on Slack (you can join with this invite) or contact us: [email protected], [email protected]

CHANGELOG

Aknowledgements

Barntumörbanken SciLifeLab
National Genomics Infrastructure National Bioinformatics Infrastructure Sweden

Citation

If you use nf-core/sarek for your analysis, please cite the Sarek pre-print as follows:

Garcia M, Juhos S, Larsson M et al. Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants [version 1; peer review: awaiting peer review].. F1000Research 2020, 9:63. doi: 10.12688/f1000research.16665.1.

You can cite the sarek zenodo record for a specific version using the following doi: 10.5281/zenodo.3476426

You can cite the nf-core publication as follows:

The nf-core framework for community-curated bioinformatics pipelines.

Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.

Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.
ReadCube: Full Access Link

sarek's People

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