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

E. Dicks, J. W. Teague, P. Stephens, K. Raine, A. Yates, C. Mattocks, P. Tarpey, A. Butler, A. Menzies, D. Richardson, A. Jenkinson, H. Davies, S. Edkins, S. Forbes, K. Gray, C. Greenman, R. Shepherd, M. R. Stratton, P. A. Futreal, R. Wooster

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)1689-1691
Number of pages3
Issue number13
Early online date7 May 2007
Publication statusPublished - Jul 2007

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