ascatNgs: identifying somatically acquired copy-number alterations from whole-genome sequencing data
Authors listKeiran M Raine Peter Van Loo David C Wedge David Jones Andrew Menzies Adam P Butler Jon W Teague Patrick Tarpey Serena Nik-Zainal Peter J Campbell
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.
Issue number 1