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