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AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes.
Dicks, E; Teague, J W; 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, M R; Futreal, P A; Wooster, R.
Afiliación
  • Dicks E; Cancer Genome Project, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
Bioinformatics ; 23(13): 1689-91, 2007 Jul 01.
Article en En | MEDLINE | ID: mdl-17485433
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.

AVAILABILITY:

http//www.sanger.ac.uk/genetics/CGP/Software/AutoCSA.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Algoritmos / ADN de Neoplasias / Análisis Mutacional de ADN / Pruebas Genéticas / Mapeo Cromosómico / Neoplasias Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2007 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Algoritmos / ADN de Neoplasias / Análisis Mutacional de ADN / Pruebas Genéticas / Mapeo Cromosómico / Neoplasias Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2007 Tipo del documento: Article País de afiliación: Reino Unido