title: Analysis of Whole Transcriptome Sequencing Data: Workflow and Software.
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.
authors: Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul 03722, Korea.
authors: In Seok
authors: IS
authors: Yang
authors: Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul 03722, Korea.
authors: Sangwoo
authors: S
authors: Kim
keywords: bioinformatics tools; gene expression; high-throughput RNA sequencing; transcript