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

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
Source :: Bioinformatics (Oxford, England) [Bioinformatics] 2007 Jul 01; Vol. 23 (13), pp. 1689-91. Date of Electronic Publication: 2007 May 07.
Publication Year :: 2007
Abstract: 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.<br />Availability: http://www.sanger.ac.uk/genetics/CGP/Software/AutoCSA.

Subjects :: Base Sequence
Genetic Predisposition to Disease genetics
Genetic Variation genetics
Humans
Molecular Sequence Data
Software
Algorithms
Chromosome Mapping methods
DNA Mutational Analysis methods
DNA, Neoplasm genetics
Genetic Testing methods
Neoplasms diagnosis
Neoplasms genetics

Full Text Access

Tools