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In recent years, the continuing technical improvements and decreasing cost of next-generation sequencing technology have made RNA sequencing (RNA-seq) a popular choice for gene expression studies (Wang et al., 2009; Ozsolak and Milos, 2011). Such sequence-based methods have revolutionized studies of the transcriptome by enabling a wide range of novel applications, including detection of alternative splicing isoforms and transcript fusion detection. In addition, RNA-seq has become an attractive alternative to microarrays for the identification of differentially expressed genes between several conditions or tissues.
Curators: Rekin's Janky, Bogdan Mirauta and Mikhail Shugay