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dc.contributor.authorPan, Cheng-Tsungen_US
dc.contributor.authorTsai, Kuo-Wangen_US
dc.contributor.authorHung, Tzu-Minen_US
dc.contributor.authorLin, Wei-Chenen_US
dc.contributor.authorPan, Chao-Yuen_US
dc.contributor.authorYu, Hong-Renen_US
dc.contributor.authorLi, Sung-Chouen_US
dc.date.accessioned2014-12-08T15:36:37Z-
dc.date.available2014-12-08T15:36:37Z-
dc.date.issued2014en_US
dc.identifier.issn2314-6133en_US
dc.identifier.urihttp://hdl.handle.net/11536/24957-
dc.identifier.urihttp://dx.doi.org/10.1155/2014/462135en_US
dc.description.abstractMicroRNAs (miRNAs) present diverse regulatory functions in a wide range of biological activities. Studies on miRNA functions generally depend on determining miRNA expression profiles between libraries by using a next-generation sequencing (NGS) platform. Currently, several online web services are developed to provide small RNANGS data analysis. However, the submission of large amounts of NGS data, conversion of data format, and limited availability of species bring problems. In this study, we developed miRSeq to provide alternatives. To test the performance, we had small RNA NGS data from four species, including human, rat, fly, and nematode, analyzed with miRSeq. The alignments results indicate that miRSeq can precisely evaluate the sequencing quality of samples regarding percentage of self-ligation read, read length distribution, and read category. miRSeq is a user-friendly standalone toolkit featuring a graphical user interface (GUI). After a simple installation, users can easily operate miRSeq on a PC or laptop by using a mouse. Within minutes, miRSeq yields useful miRNA data, including miRNA expression profiles, 3\' end modification patterns, and isomiR forms. Moreover, miRSeq supports the analysis of up to 105 animal species, providing higher flexibility.en_US
dc.language.isoen_USen_US
dc.titlemiRSeq: A User-Friendly Standalone Toolkit for Sequencing Quality Evaluation and miRNA Profilingen_US
dc.typeArticleen_US
dc.identifier.doi10.1155/2014/462135en_US
dc.identifier.journalBIOMED RESEARCH INTERNATIONALen_US
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000339791700001-
dc.citation.woscount0-
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