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Highly Accessed Review

From RNA-seq reads to differential expression results

Alicia Oshlack1*, Mark D Robinson12 and Matthew D Young1

Author Affiliations

1 Bioinformatics Division, Walter and Eliza Hall Institute, 1G Royal Parade, Parkville 3052, Australia

2 Epigenetics Laboratory, Cancer Program, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, NSW 2010, Australia

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Genome Biology 2010, 11:220  doi:10.1186/gb-2010-11-12-220

Published: 22 December 2010

Abstract

Many methods and tools are available for preprocessing high-throughput RNA sequencing data and detecting differential expression.