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dc.contributor.authorChou, Chih-Hungen_US
dc.contributor.authorChang, Nai-Wenen_US
dc.contributor.authorShrestha, Sirjanaen_US
dc.contributor.authorHsu, Sheng-Daen_US
dc.contributor.authorLin, Yu-Lingen_US
dc.contributor.authorLee, Wei-Hsiangen_US
dc.contributor.authorYang, Chi-Dungen_US
dc.contributor.authorHong, Hsiao-Chinen_US
dc.contributor.authorWei, Ting-Yenen_US
dc.contributor.authorTu, Siang-Jyunen_US
dc.contributor.authorTsai, Tzi-Renen_US
dc.contributor.authorHo, Shu-Yien_US
dc.contributor.authorJian, Ting-Yanen_US
dc.contributor.authorWu, Hsin-Yien_US
dc.contributor.authorChen, Pin-Rongen_US
dc.contributor.authorLin, Nai-Chiehen_US
dc.contributor.authorHuang, Hsin-Tzuen_US
dc.contributor.authorYang, Tzu-Lingen_US
dc.contributor.authorPai, Chung-Yuanen_US
dc.contributor.authorTai, Chun-Sanen_US
dc.contributor.authorChen, Wen-Liangen_US
dc.contributor.authorHuang, Chia-Yenen_US
dc.contributor.authorLiu, Chun-Chien_US
dc.contributor.authorWeng, Shun-Longen_US
dc.contributor.authorLiao, Kuang-Wenen_US
dc.contributor.authorHsu, Wen-Lianen_US
dc.contributor.authorHuang, Hsien-Daen_US
dc.date.accessioned2019-04-03T06:44:18Z-
dc.date.available2019-04-03T06:44:18Z-
dc.date.issued2016-01-04en_US
dc.identifier.issn0305-1048en_US
dc.identifier.urihttp://dx.doi.org/10.1093/nar/gkv1258en_US
dc.identifier.urihttp://hdl.handle.net/11536/133085-
dc.description.abstractMicroRNAs (miRNAs) are small non-coding RNAs of approximately 22 nucleotides, which negatively regulate the gene expression at the post-transcriptional level. This study describes an update of the miRTarBase (http://miRTarBase.mbc.nctu.edu.tw/) that provides information about experimentally validated miRNA-target interactions (MTIs). The latest update of the miRTarBase expanded it to identify systematically Argonaute-miRNA-RNA interactions from 138 crosslinking and immunoprecipitation sequencing (CLIP-seq) data sets that were generated by 21 independent studies. The database contains 4966 articles, 7439 strongly validated MTIs (using reporter assays or western blots) and 348 007 MTIs from CLIP-seq. The number of MTIs in the miRTarBase has increased around 7-fold since the 2014 miRTarBase update. The miRNA and gene expression profiles from The Cancer Genome Atlas (TCGA) are integrated to provide an effective overview of this exponential growth in the miRNA experimental data. These improvements make the miRTarBase one of the more comprehensively annotated, experimentally validated miRNA-target interactions databases and motivate additional miRNA research efforts.en_US
dc.language.isoen_USen_US
dc.titlemiRTarBase 2016: updates to the experimentally validated miRNA-target interactions databaseen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/nar/gkv1258en_US
dc.identifier.journalNUCLEIC ACIDS RESEARCHen_US
dc.citation.volume44en_US
dc.citation.issueD1en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.department分子醫學與生物工程研究所zh_TW
dc.contributor.department生物資訊研究中心zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.contributor.departmentInstitute of Molecular Medicine and Bioengineeringen_US
dc.contributor.departmentCenter for Bioinformatics Researchen_US
dc.identifier.wosnumberWOS:000371261700032en_US
dc.citation.woscount472en_US
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