Genomics Inform.  2015 Dec;13(4):119-125. 10.5808/GI.2015.13.4.119.

Analysis of Whole Transcriptome Sequencing Data: Workflow and Software

• Yang IS
• Kim S

• KMID: 2166526
• DOI: http://doi.org/10.5808/GI.2015.13.4.119

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.

Keyword

bioinformatics tools; gene expression; high-throughput RNA sequencing; transcript

MeSH Terms

Biological Processes
Clinical Coding
Computational Biology
Gene Expression
High-Throughput Nucleotide Sequencing
Polymers
RNA
Transcriptome*
Polymers
RNA