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