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

Publication ,  Conference
Dicks, E; Teague, JW; Stephens, P; Raine, K; Yates, A; Mattocks, C; Tarpey, P; Butler, A; Menzies, A; Richardson, D; Jenkinson, A; Davies, H ...
Published in: Bioinformatics
July 1, 2007

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.

Duke Scholars

Published In

Bioinformatics

DOI

EISSN

1367-4811

Publication Date

July 1, 2007

Volume

23

Issue

13

Start / End Page

1689 / 1691

Location

England

Related Subject Headings

  • Software
  • Neoplasms
  • Molecular Sequence Data
  • Humans
  • Genetic Variation
  • Genetic Testing
  • Genetic Predisposition to Disease
  • DNA, Neoplasm
  • DNA Mutational Analysis
  • Chromosome Mapping
 

Citation

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Chicago
ICMJE
MLA
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Dicks, E., Teague, J. W., Stephens, P., Raine, K., Yates, A., Mattocks, C., … Wooster, R. (2007). AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes. In Bioinformatics (Vol. 23, pp. 1689–1691). England. https://doi.org/10.1093/bioinformatics/btm152
Dicks, E., J. W. Teague, P. Stephens, K. Raine, A. Yates, C. Mattocks, P. Tarpey, et al. “AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes.” In Bioinformatics, 23:1689–91, 2007. https://doi.org/10.1093/bioinformatics/btm152.
Dicks E, Teague JW, Stephens P, Raine K, Yates A, Mattocks C, et al. AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes. In: Bioinformatics. 2007. p. 1689–91.
Dicks, E., et al. “AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes.Bioinformatics, vol. 23, no. 13, 2007, pp. 1689–91. Pubmed, doi:10.1093/bioinformatics/btm152.
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. AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes. Bioinformatics. 2007. p. 1689–1691.

Published In

Bioinformatics

DOI

EISSN

1367-4811

Publication Date

July 1, 2007

Volume

23

Issue

13

Start / End Page

1689 / 1691

Location

England

Related Subject Headings

  • Software
  • Neoplasms
  • Molecular Sequence Data
  • Humans
  • Genetic Variation
  • Genetic Testing
  • Genetic Predisposition to Disease
  • DNA, Neoplasm
  • DNA Mutational Analysis
  • Chromosome Mapping