TY - JOUR T1 - Salmon: Accurate, Versatile and Ultrafast Quantification from RNA-seq Data using Lightweight-Alignment JF - bioRxiv DO - 10.1101/021592 SP - 021592 AU - Rob Patro AU - Geet Duggal AU - Carl Kingsford Y1 - 2015/01/01 UR - http://biorxiv.org/content/early/2015/06/27/021592.abstract N2 - 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. ER -