Analysis of Whole Transcriptome Sequencing Data: Workflow and Software

  • Yang I
  • Kim S
N/ACitations
Citations of this article
607Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Yang, I. S., & Kim, S. (2015). Analysis of Whole Transcriptome Sequencing Data: Workflow and Software. Genomics & Informatics, 13(4), 119. https://doi.org/10.5808/gi.2015.13.4.119

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free