Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) · 2018 · 102 citations · 18 references
Life SciencesBioinformaticsMolecular BiologyComputational BiologyGene ExpressionTranscriptomicsNext-generation SequencingRna Sequencing AnalysisSequence AlignmentTranscript Sequence AnalysisTranscriptomics In FishHigh-throughput Sequencing AnalysisOpen-source Software DevelopmentRead AlignmentRead Alignment For TranscriptomicsRna Sequence AlignmentTranscript AlignmentTranscript Quantification
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.
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