Analysis of Whole Transcriptome Sequencing Data: Workflow and Software.
- Author:
In Seok YANG
1
;
Sangwoo KIM
Author Information
- Publication Type:Review
- Keywords: bioinformatics tools; gene expression; high-throughput RNA sequencing; transcript
- MeSH: Biological Processes; Clinical Coding; Computational Biology; Gene Expression; High-Throughput Nucleotide Sequencing; Polymers; RNA; Transcriptome*
- From:Genomics & Informatics 2015;13(4):119-125
- CountryRepublic of Korea
- Language:English
- 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.
