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MiRGator v3.0: A microRNA portal for deep sequencing, expression profiling and mRNA targeting

Cited 97 time in Web of Science Cited 102 time in Scopus
Authors
Cho, Sooyoung; Jang, Insu; Jun, Yukyung; Yoon, Suhyeon; Ko, Minjeong; Kwon, Yeajee; Choi, Ikjung; Chang, Hyeshik; Ryu, Daeun; Lee, Byungwook; Kim, V. Narry; Kim, Wankyu; Lee, Sanghyuk
Issue Date
2013-01
Citation
Nucleic Acids Research, Vol.41 No.D1, pp.D252-D257
Abstract
Biogenesis and molecular function are two key subjects in the field of microRNA (miRNA) research. Deep sequencing has become the principal technique in cataloging of miRNA repertoire and generating expression profiles in an unbiased manner. Here, we describe the miRGator v3.0 update (http://mirgator.kobic.re.kr) that compiled the deep sequencing miRNA data available in public and implemented several novel tools to facilitate exploration of massive data. The miR-seq browser supports users to examine short read alignment with the secondary structure and read count information available in concurrent windows. Features such as sequence editing, sorting, ordering, import and export of user data would be of great utility for studying iso-miRs, miRNA editing and modifications. miRNA-target relation is essential for understanding miRNA function. Coexpression analysis of miRNA and target mRNAs, based on miRNA-seq and RNA-seq data from the same sample, is visualized in the heat-map and network views where users can investigate the inverse correlation of gene expression and target relations, compiled from various databases of predicted and validated targets. By keeping datasets and analytic tools up-to-date, miRGator should continue to serve as an integrated resource for biogenesis and functional investigation of miRNAs.
ISSN
0305-1048
URI
https://hdl.handle.net/10371/171942
DOI
https://doi.org/10.1093/nar/gks1168
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College of Natural Sciences (자연과학대학)Dept. of Biological Sciences (생명과학부)Journal Papers (저널논문_생명과학부)
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