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JAGuaR: junction alignments to genome for RNA-seq reads.
Butterfield, Yaron S; Kreitzman, Maayan; Thiessen, Nina; Corbett, Richard D; Li, Yisu; Pang, Johnson; Ma, Yussanne P; Jones, Steven J M; Birol, Inanç.
Afiliación
  • Butterfield YS; Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
  • Kreitzman M; Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
  • Thiessen N; Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
  • Corbett RD; Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
  • Li Y; Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
  • Pang J; Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
  • Ma YP; Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
  • Jones SJ; Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
  • Birol I; Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
PLoS One ; 9(7): e102398, 2014.
Article en En | MEDLINE | ID: mdl-25062255
ABSTRACT
JAGuaR is an alignment protocol for RNA-seq reads that uses an extended reference to increase alignment sensitivity. It uses BWA to align reads to the genome and reference transcript models (including annotated exon-exon junctions) specifically allowing for the possibility of a single read spanning multiple exons. Reads aligned to the transcript models are then re-mapped on to genomic coordinates, transforming alignments that span multiple exons into large-gapped alignments on the genome. While JAGuaR does not detect novel junctions, we demonstrate how JAGuaR generates fast and accurate transcriptome alignments, which allows for both sensitive and specific SNV calling.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / ARN / Alineación de Secuencia / Análisis de Secuencia de ARN Límite: Animals / Humans Idioma: En Año: 2014 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / ARN / Alineación de Secuencia / Análisis de Secuencia de ARN Límite: Animals / Humans Idioma: En Año: 2014 Tipo del documento: Article