ConsensuSV—from the whole-genome sequencing data to the complete variant list

Author:

Chiliński Mateusz12ORCID,Plewczynski Dariusz12ORCID

Affiliation:

1. Laboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology , Warsaw 00-662, Poland

2. Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw , Warsaw 02-097, Poland

Abstract

Abstract Summary The detection of the structural variants (SVs) using Illumina sequencing of human DNA is not an easy task. Multiple approaches have been proposed; however, all the methods have their limitations. In this article, we present ConsensuSV pipeline that aids the research in complex variant detection. By using consensus meta-approach, eight independent SV callers are being used to identify a uniform set of high-quality SVs. The pipeline works using raw sequencing data and performs all the necessary steps automatically, significantly reducing the researchers’ time required for processing the data. The output files contain SVs, single nucleotide polymorphisms and Indels. The pipeline uses luigi framework, allowing the software to be run efficiently and parallelly using the high-performance computing infrastructure. We strongly believe that the software is useful to the scientific community interested in the germline variant detection. Availability and implementation https://github.com/SFGLab/ConsensuSV-pipeline. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

National Science Centre

European Commission Horizon 2020 Marie Skłodowska-Curie ITN Enhpathy

Molecular Basis of Human enhanceropathies

Warsaw University of Technology

Excellence Initiative: Research University

Laboratory of Bioinformatics and Computational Genomics

Faculty of Mathematics and Information Science, Warsaw University of Technology

Artificial Intelligence HPC

Polish Ministry of Science and Higher Education

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference7 articles.

1. FusorSV: an algorithm for optimally combining data from multiple structural variation detection methods;Becker;Genome Biol,2018

2. Multi-platform discovery of haplotype-resolved structural variation in human genomes;Chaisson;Nat. Commun,2019

3. From DNA human sequence to the chromatin higher order organisation and its biological meaning: using biomolecular interaction networks to understand the influence of structural variation on spatial genome organisation and its functional effect;Chiliński;Semin. Cell Dev. Biol,2021

4. Structural variation in the human genome;Feuk;Nat. Rev. Genet,2006

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