| Literature DB >> 27941783 |
Giacomo Baruzzo1, Katharina E Hayer2, Eun Ji Kim2, Barbara Di Camillo1, Garret A FitzGerald2,3, Gregory R Grant2,4.
Abstract
Alignment is the first step in most RNA-seq analysis pipelines, and the accuracy of downstream analyses depends heavily on it. Unlike most steps in the pipeline, alignment is particularly amenable to benchmarking with simulated data. We performed a comprehensive benchmarking of 14 common splice-aware aligners for base, read, and exon junction-level accuracy and compared default with optimized parameters. We found that performance varied by genome complexity, and accuracy and popularity were poorly correlated. The most widely cited tool underperforms for most metrics, particularly when using default settings.Entities:
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Year: 2016 PMID: 27941783 PMCID: PMC5792058 DOI: 10.1038/nmeth.4106
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547