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dc.contributor.author원정임-
dc.date.accessioned2021-03-09T01:02:21Z-
dc.date.available2021-03-09T01:02:21Z-
dc.date.issued2019-06-
dc.identifier.citationINTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, v. 22, no. 3, page. 216-230en_US
dc.identifier.issn1748-5673-
dc.identifier.issn1748-5681-
dc.identifier.urihttp://www.inderscience.com/offer.php?id=100623-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/160277-
dc.description.abstractThe advent of high-throughput Next-Generation Sequencing (NGS) technology has brought in a new genomics era. It is widely utilised not only for genomic but also for transcriptome sequencing. NGS-based transcriptomic methods, including RNA-seq, are widely used to study gene expression regulation. Recently, post-transcriptional gene regulation has been studied by several RNA degradome sequencing methods that differ from RNA-seq and directly profile degraded RNAs. Parallel Analysis of RNA Ends (PARE) sequencing is one of these methods. It is widely used for identifying microRNA targets and nonsense-mediated mRNA decay events as well as for global analysis of RNA degradation. We have developed WebPORD, a user-friendly web-based pipeline for analysing the PARE sequencing data. This pipeline trims and applies several filters to PARE sequencing. In addition, this pipeline provides a degradome table and degradome-plots for users to further analyse RNA degradation at a genomic scale. This is the first web-based pipeline for global analysis of RNA degradation using PARE data from animals and plants, which provides mechanistic insights into post-transcriptional gene regulation.en_US
dc.description.sponsorshipThis research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2017R1D1A1B03030969 to J-I. W.) and by the National Research Foundation of Korea (NRF) grants funded by the Korea government (NRF-2017R1A2B4007831 to J.H. Y and NRF-2018R1D1A1B07049751 to D-H. J). This work was also supported by a grant from the Next-Generation BioGreen 21 Program (Project No. PJ01366801), Rural Development Administration, Republic of Korea to D-H. J. and by a grant from Hallym University (HRF-201409-001) to D-H. J.en_US
dc.language.isoenen_US
dc.publisherINDERSCIENCE ENTERPRISES LTDen_US
dc.subjectweb-based pipelineen_US
dc.subjectnext-generation sequencingen_US
dc.subjectRNA degradomeen_US
dc.subjectparallel analysis of RNA endsen_US
dc.titleWebPORD: a web-based pipeline of RNA degradomeen_US
dc.typeArticleen_US
dc.identifier.doi10.1504/IJDMB.2019.100623-
dc.relation.journalINTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS-
dc.contributor.googleauthorWon, Jung-Im-
dc.contributor.googleauthorLee, JunBeom-
dc.contributor.googleauthorLee, HeonWoo-
dc.contributor.googleauthorShin, JaeMoon-
dc.contributor.googleauthorYoon, JeeHee-
dc.contributor.googleauthorJeong, Dong-Hoon-
dc.relation.code2019039811-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentCENTER FOR INNOVATION IN ENGINEERING EDUCATION-
dc.identifier.pidjiwon-
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COLLEGE OF ENGINEERING[S](공과대학) > ETC
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