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.

Original publication

DOI

10.1002/cpbi.17

Type

Journal article

Journal

Current protocols in bioinformatics

Publication Date

08/12/2016

Volume

56

Pages

15.9.1 - 15.9.17

Addresses

Cancer Genome Project, Wellcome Trust Sanger Institute, Cambridge, United Kingdom.

Keywords

Humans, Neoplasms, Computational Biology, Genome, Algorithms, Databases, Genetic, DNA Copy Number Variations