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http://dx.doi.org/10.5808/GI.2015.13.4.119

Analysis of Whole Transcriptome Sequencing Data: Workflow and Software  

Yang, In Seok (Severance Biomedical Science Institute, Yonsei University College of Medicine)
Kim, Sangwoo (Severance Biomedical Science Institute, Yonsei University College of Medicine)
Publication Information
Genomics & Informatics / v.13, no.4, 2015 , pp. 119-125 More about this Journal
Abstract
RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and quantifying the transcriptome and accelerates the development of bioinformatics software. In this review, we introduce routine RNA-seq workflow together with related software, focusing particularly on transcriptome reconstruction and expression quantification.
Keywords
bioinformatics tools; gene expression; high-throughput RNA sequencing; transcript;
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