Unit
UNIT 11.14 Mapping RNA-seq Reads with STAR
Published Online: 3 SEP 2015
DOI: 10.1002/0471250953.bi1114s51
Copyright © 2013 John Wiley & Sons, Inc. All rights reserved.
Lab Protocol Title

Current Protocols in Bioinformatics
Additional Information
How to Cite
and 2015. Mapping RNA-seq reads with STAR. Curr. Protoc. Bioinform. 51:11.14.1-11.14.19. doi: 10.1002/0471250953.bi1114s51
Publication History
- Published Online: 3 SEP 2015
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Abstract
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. © 2015 by John Wiley & Sons, Inc.
Keywords:
- sequence alignment;
- reads mapping;
- RNA-seq;
- transcriptome;
- spliced alignment;
- STAR
