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MGEScan: a Galaxy-based system for identifying retrotransposons in genomes

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dc.contributor.authorLee, Hyungro-
dc.contributor.authorLee, Minsu-
dc.contributor.authorIsmail, Wazim Mohammed-
dc.contributor.authorRho, Mina-
dc.contributor.authorFox, Geoffrey C.-
dc.contributor.authorOh, Sangyoon-
dc.contributor.authorTang, Haixu-
dc.date.accessioned2022-07-15T12:21:14Z-
dc.date.available2022-07-15T12:21:14Z-
dc.date.issued2016-08-
dc.identifier.issn1367-4803-
dc.identifier.issn1367-4811-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/154208-
dc.description.abstractMGEScan-long terminal repeat (LTR) and MGEScan-non-LTR are successfully used programs for identifying LTRs and non-LTR retrotransposons in eukaryotic genome sequences. However, these programs are not supported by easy-to-use interfaces nor well suited for data visualization in general data formats. Here, we present MGEScan, a user-friendly system that combines these two programs with a Galaxy workflow system accelerated with MPI and Python threading on compute clusters. MGEScan and Galaxy empower researchers to identify transposable elements in a graphical user interface with ready-to-use workflows. MGEScan also visualizes the custom annotation tracks for mobile genetic elements in public genome browsers. A maximum speed-up of 3.26x is attained for execution time using concurrent processing and MPI on four virtual cores. MGEScan provides four operational modes: as a command line tool, as a Galaxy Toolshed, on a Galaxy-based web server, and on a virtual cluster on the Amazon cloud.-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherOxford University Press-
dc.titleMGEScan: a Galaxy-based system for identifying retrotransposons in genomes-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1093/bioinformatics/btw157-
dc.identifier.scopusid2-s2.0-84983266553-
dc.identifier.wosid000383682900014-
dc.identifier.bibliographicCitationBioinformatics, v.32, no.16, pp 2502 - 2504-
dc.citation.titleBioinformatics-
dc.citation.volume32-
dc.citation.number16-
dc.citation.startPage2502-
dc.citation.endPage2504-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordPlusTRANSPOSABLE ELEMENTS-
dc.subject.keywordPlusDAPHNIA-PULEX-
dc.identifier.urlhttps://academic.oup.com/bioinformatics/article/32/16/2502/1743013-
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