Quantification of aneuploidy in targeted sequencing data using ASCETS.

Bioinformatics

Authors	Liam Spurr Mehdi Touat Alison Taylor Adrian Dubuc Juliann Shih David Meredith William Pisano Matthew Meyerson Keith Ligon Andrew Cherniack Yvonne Li Rameen Beroukhim
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: ASCETS is implemented in R and is freely available to non-commercial users on GitHub: , along with detailed documentation. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Year of Publication	2020
Journal	Bioinformatics
Date Published	2020 Nov 28
ISSN	1367-4811
DOI	10.1093/bioinformatics/btaa980
PubMed ID	33247715
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