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mmquant: how to count multi-mapping reads?
Zytnicki, Matthias.
Afiliação
  • Zytnicki M; MIAT, Toulouse INRA, BP 52627, Castanet-Tolosan cedex, 31326, France. matthias.zytnicki@inra.fr.
BMC Bioinformatics ; 18(1): 411, 2017 Sep 15.
Article em En | MEDLINE | ID: mdl-28915787
BACKGROUND: RNA-Seq is currently used routinely, and it provides accurate information on gene transcription. However, the method cannot accurately estimate duplicated genes expression. Several strategies have been previously used (drop duplicated genes, distribute uniformly the reads, or estimate expression), but all of them provide biased results. RESULTS: We provide here a tool, called mmquant, for computing gene expression, included duplicated genes. If a read maps at different positions, the tool detects that the corresponding genes are duplicated; it merges the genes and creates a merged gene. The counts of ambiguous reads is then based on the input genes and the merged genes. CONCLUSION: mmquant is a drop-in replacement of the widely used tools htseq-count and featureCounts that handles multi-mapping reads in an unabiased way.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Regulação da Expressão Gênica / Perfilação da Expressão Gênica Idioma: En Revista: BMC Bioinformatics Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Regulação da Expressão Gênica / Perfilação da Expressão Gênica Idioma: En Revista: BMC Bioinformatics Ano de publicação: 2017 Tipo de documento: Article