Date of Original Version

6-27-2015

Type

Working Paper

Rights Management

The copyright holder for this preprint is the author/funder.

Abstract or Description

Transcript quantification is a central task in the analysis of RNA-seq data. Accurate computational methods for the quantification of transcript abundances are essential for downstream analysis. However, most existing approaches are much slower than is necessary for their degree of accuracy. We introduce Salmon, a novel method and software tool for transcript quantification that exhibits state-of-the-art accuracy while being significantly faster than most other tools. Salmon achieves this through the combined application of a two-phase inference procedure, a reduced data representation, and a novel lightweight read alignment algorithm. Salmon is written in C++11, and is available under the GPL v3 license as open-source software at https://combine-lab.github.io/salmon.

DOI

10.1101/021592

Creative Commons


This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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