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dc.contributor.author노미나-
dc.date.accessioned2018-03-19T04:54:47Z-
dc.date.available2018-03-19T04:54:47Z-
dc.date.issued2016-04-
dc.identifier.citationBIOINFORMATICS, v. 32, NO 16, Page. 2502-2504en_US
dc.identifier.issn1367-4803-
dc.identifier.issn1460-2059-
dc.identifier.urihttps://academic.oup.com/bioinformatics/article/32/16/2502/1743013-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/48867-
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.en_US
dc.description.sponsorshipThis work was supported by National Research Foundation of Korea grants funded by the Ministry of Education (NRF-2015R1D1A1A01059557), by the Korean government (MSIP) (KW-2014PPD0053 and NRF-2015R1C1A1A01054305), by the National Science Foundation grant (DBI-1262588) and by Marine Biotechnology Program (PJT200620) of Ministry of Oceans and Fisheries.en_US
dc.language.isoenen_US
dc.publisherOXFORD UNIV PRESSen_US
dc.subjectTRANSPOSABLE ELEMENTSen_US
dc.subjectDAPHNIA-PULEXen_US
dc.titleMGEScan: a Galaxy-based system for identifying retrotransposons in genomesen_US
dc.typeArticleen_US
dc.relation.no16-
dc.relation.volume32-
dc.identifier.doi10.1093/bioinformatics/btw157-
dc.relation.page2502-2504-
dc.relation.journalBIOINFORMATICS-
dc.contributor.googleauthorLee, Hyungro-
dc.contributor.googleauthorLee, Minsu-
dc.contributor.googleauthorIsmail, Wazim Mohammed-
dc.contributor.googleauthorRho, Mina-
dc.contributor.googleauthorFox, Geoffrey C.-
dc.contributor.googleauthorOh, Sangyoon-
dc.contributor.googleauthorTang, Haixu-
dc.relation.code2016001067-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF COMPUTER SCIENCE-
dc.identifier.pidminarho-
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COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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