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MSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads

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dc.contributor.authorSchmidt, Markus-
dc.contributor.authorKutzner, Arne-
dc.date.accessioned2023-09-04T07:07:40Z-
dc.date.available2023-09-04T07:07:40Z-
dc.date.created2023-08-01-
dc.date.issued2023-07-
dc.identifier.issn1474-7596-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/189658-
dc.description.abstractStructural variant (SV) calling belongs to the standard tools of modern bioinformatics for identifying and describing alterations in genomes. Initially, this work presents several complex genomic rearrangements that reveal conceptual ambiguities inherent to the representation via basic SV. We contextualize these ambiguities theoretically as well as practically and propose a graph-based approach for resolving them. For various yeast genomes, we practically compute adjacency matrices of our graph model and demonstrate that they provide highly accurate descriptions of one genome in terms of another. An open-source prototype implementation of our approach is available under the MIT license at https://github.com/ITBE-Lab/MA .-
dc.language영어-
dc.language.isoen-
dc.publisherBMC-
dc.titleMSV: a modular structural variant caller that reveals nested and complex rearrangements by unifying breakends inferred directly from reads-
dc.typeArticle-
dc.contributor.affiliatedAuthorKutzner, Arne-
dc.identifier.doi10.1186/s13059-023-03009-5-
dc.identifier.scopusid2-s2.0-85165004658-
dc.identifier.wosid001035294100001-
dc.identifier.bibliographicCitationGENOME BIOLOGY, v.24, no.1, pp.1 - 27-
dc.relation.isPartOfGENOME BIOLOGY-
dc.citation.titleGENOME BIOLOGY-
dc.citation.volume24-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage27-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaGenetics & Heredity-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryGenetics & Heredity-
dc.subject.keywordPlusSEQUENCE-
dc.subject.keywordPlusIDENTIFICATION-
dc.subject.keywordPlusFORMAT-
dc.subject.keywordAuthorNested SV-
dc.subject.keywordAuthorComplex SV-
dc.subject.keywordAuthorAlignment-
dc.subject.keywordAuthorMEMs-
dc.subject.keywordAuthorSeeds-
dc.subject.keywordAuthorPan-genomes-
dc.subject.keywordAuthorAmbiguity-
dc.identifier.urlhttps://genomebiology.biomedcentral.com/articles/10.1186/s13059-023-03009-5-
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서울 공과대학 > 서울 정보시스템학과 > 1. Journal Articles

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