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Quantification of aneuploidy in targeted sequencing data using ASCETS

Authors :
Mehdi Touat
Yvonne Y. Li
William Pisano
David Meredith
Andrew D. Cherniack
Rameen Beroukhim
Juliann Shih
Alison M. Taylor
Liam F. Spurr
Adrian M. Dubuc
Matthew Meyerson
Keith L. Ligon
Source :
Bioinformatics
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

Summary The expansion of targeted panel sequencing efforts has created opportunities for large-scale genomic analysis, but tools for copy-number quantification on panel data are lacking. We introduce ASCETS, a method for the efficient quantitation of arm and chromosome-level copy-number changes from targeted sequencing data. Availability and implementation ASCETS is implemented in R and is freely available to non-commercial users on GitHub: https://github.com/beroukhim-lab/ascets, along with detailed documentation. Supplementary information Supplementary data are available at Bioinformatics online.

Details

ISSN :
13674811 and 13674803
Volume :
37
Database :
OpenAIRE
Journal :
Bioinformatics
Accession number :
edsair.doi.dedup.....40d06e93926f7161523f1ee0c2aec422
Full Text :
https://doi.org/10.1093/bioinformatics/btaa980