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BreakFusion: targeted assembly-based identification of gene fusions in whole transcriptome paired-end sequencing data.
Chen, Ken; Wallis, John W; Kandoth, Cyriac; Kalicki-Veizer, Joelle M; Mungall, Karen L; Mungall, Andrew J; Jones, Steven J; Marra, Marco A; Ley, Timothy J; Mardis, Elaine R; Wilson, Richard K; Weinstein, John N; Ding, Li.
Afiliación
  • Chen K; Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX, USA. kchen3@mdanderson.org
Bioinformatics ; 28(14): 1923-4, 2012 Jul 15.
Article en En | MEDLINE | ID: mdl-22563071
UNLABELLED: Despite recent progress, computational tools that identify gene fusions from next-generation whole transcriptome sequencing data are often limited in accuracy and scalability. Here, we present a software package, BreakFusion that combines the strength of reference alignment followed by read-pair analysis and de novo assembly to achieve a good balance in sensitivity, specificity and computational efficiency. AVAILABILITY: http://bioinformatics.mdanderson.org/main/BreakFusion
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia de ARN / Biología Computacional / Transcriptoma Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2012 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia de ARN / Biología Computacional / Transcriptoma Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2012 Tipo del documento: Article País de afiliación: Estados Unidos