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Analysis of Whole Transcriptome Sequencing Data: Workflow and Software
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김상우 | - |
dc.contributor.author | 양인석 | - |
dc.date.accessioned | 2018-03-26T17:04:47Z | - |
dc.date.available | 2018-03-26T17:04:47Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 1598-866X | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/157154 | - |
dc.description.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. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Korea Genome Organization | - |
dc.relation.isPartOf | Genomics & Informatics | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Life Science | - |
dc.contributor.googleauthor | In Seok Yang | - |
dc.contributor.googleauthor | Sangwoo Kim | - |
dc.identifier.doi | 10.5808/GI.2015.13.4.119 | - |
dc.contributor.localId | A00524 | - |
dc.contributor.localId | A02314 | - |
dc.relation.journalcode | J00940 | - |
dc.identifier.eissn | 2234-0742 | - |
dc.identifier.pmid | 26865842 | - |
dc.subject.keyword | bioinformatics tools | - |
dc.subject.keyword | gene expression | - |
dc.subject.keyword | high-throughput RNA sequencing | - |
dc.subject.keyword | transcript | - |
dc.contributor.alternativeName | Kim, Sang Woo | - |
dc.contributor.alternativeName | Yang, In Seok | - |
dc.contributor.affiliatedAuthor | Kim, Sang Woo | - |
dc.contributor.affiliatedAuthor | Yang, In Seok | - |
dc.citation.volume | 13 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 119 | - |
dc.citation.endPage | 125 | - |
dc.identifier.bibliographicCitation | Genomics & Informatics, Vol.13(4) : 119-125, 2015 | - |
dc.identifier.rimsid | 41717 | - |
dc.type.rims | ART | - |
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