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Friederike Hanssen
Friederike Hanssen

Oct 13, 2022, 12:15 PM CET

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nf-core/sarek: A workflow for germline, tumor-only, and somatic analysis of NGS data

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Friederike Hanssen, Maxime Garcia, Susanne Jodoin, Nick Smith, Francesco Lescai, Gavin Mackenzie, Oskar Wacker, Anders Sune Pedersen, Lasse Folkersen, Edmund Miller, Gisela Gabernet, Sven Nahnsen

High-throughput, efficient, and reproducible pipelines are needed to ensure homogeneous data processing across different compute infrastructures with affordable resource usage. We present nf-core/sarek 3.0, to explore single-nucleotide variants, structural variation, microsatellite instability, and copy-number alterations of germline, tumor-only, and tumor-normal pairs.

We reduced compute resources and increased turn-around times, which minimizes costs on commercial clouds, facilitating the integration of publicly hosted data from repositories with in-house patient cohorts.

Other improvements include modularization of processes which facilitates maintainability and customization, and a broader repertoire of available tools.

We have re-processed 54 whole-genome-sequenced tumor-normal pairs of the TCGA-LIHC cohort, as well as on-site data, including 100 cholangiocarcinoma and 20 colorectal carcinoma panels to investigate the relationship of genomic variation to drug responsiveness.

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Friederike Hanssen

Friederike Hanssen

Ph.D. Student at the Quantitative Biology Center, University of Tübingen

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