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
APA
Chicago
ICMJE
MLA
NLM
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