Back to Search Start Over

Simulation-based comprehensive benchmarking of RNA-seq aligners.

Authors :
Baruzzo G
Hayer KE
Kim EJ
Di Camillo B
FitzGerald GA
Grant GR
Source :
Nature methods [Nat Methods] 2017 Feb; Vol. 14 (2), pp. 135-139. Date of Electronic Publication: 2016 Dec 12.
Publication Year :
2017

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.

Details

Language :
English
ISSN :
1548-7105
Volume :
14
Issue :
2
Database :
MEDLINE
Journal :
Nature methods
Publication Type :
Academic Journal
Accession number :
27941783
Full Text :
https://doi.org/10.1038/nmeth.4106