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Analysis of Whole Transcriptome Sequencing Data: Workflow and Software

Authors
 In Seok Yang  ;  Sangwoo Kim 
Citation
 Genomics & Informatics, Vol.13(4) : 119-125, 2015 
Journal Title
Genomics & Informatics
ISSN
 1598-866X 
Issue Date
2015
Keywords
bioinformatics tools ; gene expression ; high-throughput RNA sequencing ; transcript
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.
Files in This Item:
T201505658.pdf Download
DOI
10.5808/GI.2015.13.4.119
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Forensic Medicine (법의학과) > 1. Journal Papers
Yonsei Authors
Kim, Sangwoo(김상우) ORCID logo https://orcid.org/0000-0001-5356-0827
Yang, In Seok(양인석) ORCID logo https://orcid.org/0000-0001-5224-2587
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/157154
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