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Salmon provides fast and bias-aware quantification of transcript expression.


ABSTRACT: We introduce Salmon, a lightweight method for quantifying transcript abundance from RNA-seq reads. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure. It is the first transcriptome-wide quantifier to correct for fragment GC-content bias, which, as we demonstrate here, substantially improves the accuracy of abundance estimates and the sensitivity of subsequent differential expression analysis.

SUBMITTER: Patro R 

PROVIDER: S-EPMC5600148 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Salmon provides fast and bias-aware quantification of transcript expression.

Patro Rob R   Duggal Geet G   Love Michael I MI   Irizarry Rafael A RA   Kingsford Carl C  

Nature methods 20170306 4


We introduce Salmon, a lightweight method for quantifying transcript abundance from RNA-seq reads. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure. It is the first transcriptome-wide quantifier to correct for fragment GC-content bias, which, as we demonstrate here, substantially improves the accuracy of abundance estimates and the sensitivity of subsequent differential expression analysis. ...[more]

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