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chae,sehyun
식물노화·수명연구단
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Compact variant-rich customized sequence database and a fast and sensitive database search for efficient proteogenomic analyses

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dc.contributor.authorPark, H-
dc.contributor.authorBae, J-
dc.contributor.authorKim, H-
dc.contributor.authorKim, S-
dc.contributor.authorKim, H-
dc.contributor.authorMun, DG-
dc.contributor.authorJoh, Y-
dc.contributor.authorLee, W-
dc.contributor.authorSehyun Chae-
dc.contributor.authorLee, S-
dc.contributor.authorKim, HK-
dc.contributor.authorDaehee Hwang-
dc.contributor.authorLee, SW-
dc.contributor.authorPaek, E-
dc.date.available2015-04-21T08:55:01Z-
dc.date.created2015-01-20-
dc.date.issued2014-12-
dc.identifier.issn1615-9853-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/1443-
dc.description.abstractIn proteogenomic analysis, construction of a compact, customized database from mRNA-seq data and a sensitive search of both reference and customized databases are essential to accurately determine protein abundances and structural variations at the protein level. However, these tasks have not been systematically explored, but rather performed in an ad-hoc fashion. Here, we present an effectivemethod for constructing a compact database containing comprehensive sequences of sample-specific variants—single nucleotide variants, insertions/deletions, and stop-codon mutations derived from Exome-seq and RNA-seq data. It, however, occupies less space by storing variant peptides, not variant proteins. We also present an efficient search method for both customized and reference databases. The separate searches of the two databases increase the search time, and a unified search is less sensitive to identify variant peptides due to the smaller size of the customized database, compared to the reference database, in the target-decoy setting. Our method searches the unified database once, but performs targetdecoy validations separately. Experimental results show that our approach is as fast as the unified search and as sensitive as the separate searches. Our customized database includes mutation information in the headers of variant peptides, thereby facilitating the inspection of peptide-spectrum matches.-
dc.description.uri1-
dc.language영어-
dc.publisherWILEY-BLACKWELL-
dc.subjectBioinformatics / Early onset gastric cancer / Peptide identification / Proteogenomics/ / Sequence database-
dc.titleCompact variant-rich customized sequence database and a fast and sensitive database search for efficient proteogenomic analyses-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid000345915200012-
dc.identifier.scopusid2-s2.0-84913526299-
dc.identifier.rimsid16781ko
dc.date.tcdate2018-10-01-
dc.contributor.affiliatedAuthorSehyun Chae-
dc.contributor.affiliatedAuthorDaehee Hwang-
dc.identifier.doi10.1002/pmic.201400225-
dc.identifier.bibliographicCitationPROTEOMICS, v.14, no.23-24, pp.2742 - 2749-
dc.citation.titlePROTEOMICS-
dc.citation.volume14-
dc.citation.number23-24-
dc.citation.startPage2742-
dc.citation.endPage2749-
dc.date.scptcdate2018-10-01-
dc.description.wostc9-
dc.description.scptc9-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusRNA-SEQ DATA-
dc.subject.keywordPlusPEPTIDE IDENTIFICATION-
dc.subject.keywordPlusPROTEIN IDENTIFICATION-
dc.subject.keywordPlusCONSTRUCTION-
dc.subject.keywordPlusPROTEOMICS-
dc.subject.keywordPlusFRAMEWORK-
dc.subject.keywordPlusSTRATEGY-
dc.subject.keywordPlusCANCER-
dc.subject.keywordPlusPAIRS-
dc.subject.keywordAuthorBioinformatics-
dc.subject.keywordAuthorEarly onset gastric cancer-
dc.subject.keywordAuthorPeptide identification-
dc.subject.keywordAuthorProteogenomics-
dc.subject.keywordAuthorSequence database-
Appears in Collections:
Center for Plant Aging Research (식물 노화·수명 연구단) > 1. Journal Papers (저널논문)
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