Mapping RNA-seq Reads with STAR

Dobin, A., Gingeras, T. R. (September 2015) Mapping RNA-seq Reads with STAR. Curr Protoc Bioinformatics, 51. 11.14.1-11.14.19. ISSN 1934-340X (Electronic)1934-3396 (Linking)

DOI: 10.1002/0471250953.bi1114s51


Mapping of large sets of high-throughput sequencing reads to a reference genome is one of the foundational steps in RNA-seq data analysis. The STAR software package performs this task with high levels of accuracy and speed. In addition to detecting annotated and novel splice junctions, STAR is capable of discovering more complex RNA sequence arrangements, such as chimeric and circular RNA. STAR can align spliced sequences of any length with moderate error rates, providing scalability for emerging sequencing technologies. STAR generates output files that can be used for many downstream analyses such as transcript/gene expression quantification, differential gene expression, novel isoform reconstruction, and signal visualization. In this unit, we describe computational protocols that produce various output files, use different RNA-seq datatypes, and utilize different mapping strategies. STAR is open source software that can be run on Unix, Linux, or Mac OS X systems. (c) 2015 by John Wiley & Sons, Inc.

Item Type: Paper
Uncontrolled Keywords: RNA-seq Star reads mapping sequence alignment spliced alignment transcriptome
Subjects: bioinformatics
bioinformatics > genomics and proteomics > Mapping and Rendering
Investigative techniques and equipment > assays > RNA-seq
CSHL Authors:
Communities: CSHL labs > Gingeras lab
CSHL labs > Dobin Lab
CSHL Cancer Center Program > Cancer Genetics and Genomics Program
Depositing User: Matt Covey
Date: 3 September 2015
Date Deposited: 04 Sep 2015 19:46
Last Modified: 05 Nov 2020 21:18
PMCID: PMC4631051
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