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Bioinformatics DOI:10.1093/bioinformatics/btaa980

Quantification of aneuploidy in targeted sequencing data using ASCETS.

Publication TypeJournal Article
Year of Publication2020
AuthorsSpurr, LF, Touat, M, Taylor, AM, Dubuc, AM, Shih, J, Meredith, DM, Pisano, WV, Meyerson, ML, Ligon, KL, Cherniack, AD, Li, YY, Beroukhim, R
JournalBioinformatics
Date Published2020 Nov 28
ISSN1367-4811
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: https://github.com/beroukhim-lab/ascets, along with detailed documentation.

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

DOI10.1093/bioinformatics/btaa980
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/33247715?dopt=Abstract

Alternate JournalBioinformatics
PubMed ID33247715