Quantification of aneuploidy in targeted sequencing data using ASCETS.

Spurr, Liam F; Touat, Mehdi; Taylor, Alison M; Dubuc, Adrian M; Shih, Juliann; Meredith, David M; Pisano, William V; Meyerson, Matthew L et al. · Bioinformatics · 2021

basic_science · Level V

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Abstract

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. 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 data are available at Bioinformatics online.

Medical subject headings