sv-callers: a highly portable parallel workflow for structural variant detection in whole-genome sequence data.

Abstract:

:Structural variants (SVs) are an important class of genetic variation implicated in a wide array of genetic diseases including cancer. Despite the advances in whole genome sequencing, comprehensive and accurate detection of SVs in short-read data still poses some practical and computational challenges. We present sv-callers, a highly portable workflow that enables parallel execution of multiple SV detection tools, as well as provide users with example analyses of detected SV callsets in a Jupyter Notebook. This workflow supports easy deployment of software dependencies, configuration and addition of new analysis tools. Moreover, porting it to different computing systems requires minimal effort. Finally, we demonstrate the utility of the workflow by performing both somatic and germline SV analyses on different high-performance computing systems.

journal_name

PeerJ

journal_title

PeerJ

authors

Kuzniar A,Maassen J,Verhoeven S,Santuari L,Shneider C,Kloosterman WP,de Ridder J

doi

10.7717/peerj.8214

subject

Has Abstract

pub_date

2020-01-06 00:00:00

pages

e8214

issn

2167-8359

pii

8214

journal_volume

8

pub_type

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