Your browser doesn't support javascript.
loading
Near-optimal probabilistic RNA-seq quantification.
Bray, Nicolas L; Pimentel, Harold; Melsted, Páll; Pachter, Lior.
Afiliação
  • Bray NL; Innovative Genomics Initiative, University of California, Berkeley, California, USA.
  • Pimentel H; Department of Computer Science, University of California, Berkeley, California, USA.
  • Melsted P; Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Reykjavik, Iceland.
  • Pachter L; Department of Computer Science, University of California, Berkeley, California, USA.
Nat Biotechnol ; 34(5): 525-7, 2016 05.
Article em En | MEDLINE | ID: mdl-27043002
ABSTRACT
We present kallisto, an RNA-seq quantification program that is two orders of magnitude faster than previous approaches and achieves similar accuracy. Kallisto pseudoaligns reads to a reference, producing a list of transcripts that are compatible with each read while avoiding alignment of individual bases. We use kallisto to analyze 30 million unaligned paired-end RNA-seq reads in <10 min on a standard laptop computer. This removes a major computational bottleneck in RNA-seq analysis.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Software / RNA / Modelos Estatísticos / Análise de Sequência de RNA / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Software / RNA / Modelos Estatísticos / Análise de Sequência de RNA / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article