AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes.

Published

Conference Paper

UNLABELLED: The undertaking of large-scale DNA sequencing screens for somatic variants in human cancers requires accurate and rapid processing of traces for variants. Due to their often aneuploid nature and admixed normal tissue, heterozygous variants found in primary cancers are often subtle and difficult to detect. To address these issues, we have developed a mutation detection algorithm, AutoCSA, specifically optimized for the high throughput screening of cancer samples. AVAILABILITY: http://www.sanger.ac.uk/genetics/CGP/Software/AutoCSA.

Full Text

Duke Authors

Cited Authors

  • Dicks, E; Teague, JW; Stephens, P; Raine, K; Yates, A; Mattocks, C; Tarpey, P; Butler, A; Menzies, A; Richardson, D; Jenkinson, A; Davies, H; Edkins, S; Forbes, S; Gray, K; Greenman, C; Shepherd, R; Stratton, MR; Futreal, PA; Wooster, R

Published Date

  • July 1, 2007

Published In

Volume / Issue

  • 23 / 13

Start / End Page

  • 1689 - 1691

PubMed ID

  • 17485433

Pubmed Central ID

  • 17485433

Electronic International Standard Serial Number (EISSN)

  • 1367-4811

Digital Object Identifier (DOI)

  • 10.1093/bioinformatics/btm152

Conference Location

  • England