| Literature DB >> 27930809 |
Keiran M Raine1, Peter Van Loo1,2, David C Wedge1,3, David Jones1, Andrew Menzies1, Adam P Butler1, Jon W Teague1, Patrick Tarpey1, Serena Nik-Zainal1, Peter J Campbell1.
Abstract
We have developed ascatNgs to aid researchers in carrying out Allele-Specific Copy number Analysis of Tumours (ASCAT). ASCAT is capable of detecting DNA copy number changes affecting a tumor genome when comparing to a matched normal sample. Additionally, the algorithm estimates the amount of tumor DNA in the sample, known as Aberrant Cell Fraction (ACF). ASCAT itself is an R-package which requires the generation of many file types. Here, we present a suite of tools to help handle this for the user. Our code is available on our GitHub site (https://github.com/cancerit). This unit describes both 'one-shot' execution and approaches more suitable for large-scale compute farms. © 2016 by John Wiley & Sons, Inc.Entities:
Keywords: cancer; copy-number; sequencing; somatic
Mesh:
Year: 2016 PMID: 27930809 PMCID: PMC6097604 DOI: 10.1002/cpbi.17
Source DB: PubMed Journal: Curr Protoc Bioinformatics ISSN: 1934-3396