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Analysis of Whole Transcriptome Sequencing Data: Workflow and Software

DC Field Value Language
dc.contributor.author김상우-
dc.contributor.author양인석-
dc.date.accessioned2018-03-26T17:04:47Z-
dc.date.available2018-03-26T17:04:47Z-
dc.date.issued2015-
dc.identifier.issn1598-866X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/157154-
dc.description.abstractRNA 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.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherKorea Genome Organization-
dc.relation.isPartOfGenomics & Informatics-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleAnalysis of Whole Transcriptome Sequencing Data: Workflow and Software-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Life Science-
dc.contributor.googleauthorIn Seok Yang-
dc.contributor.googleauthorSangwoo Kim-
dc.identifier.doi10.5808/GI.2015.13.4.119-
dc.contributor.localIdA00524-
dc.contributor.localIdA02314-
dc.relation.journalcodeJ00940-
dc.identifier.eissn2234-0742-
dc.identifier.pmid26865842-
dc.subject.keywordbioinformatics tools-
dc.subject.keywordgene expression-
dc.subject.keywordhigh-throughput RNA sequencing-
dc.subject.keywordtranscript-
dc.contributor.alternativeNameKim, Sang Woo-
dc.contributor.alternativeNameYang, In Seok-
dc.contributor.affiliatedAuthorKim, Sang Woo-
dc.contributor.affiliatedAuthorYang, In Seok-
dc.citation.volume13-
dc.citation.number4-
dc.citation.startPage119-
dc.citation.endPage125-
dc.identifier.bibliographicCitationGenomics & Informatics, Vol.13(4) : 119-125, 2015-
dc.identifier.rimsid41717-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers

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