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Nucleic Acids Res. 2017 Jan 4;45(D1):D135-D138. doi: 10.1093/nar/gkw728. Epub 2016 Aug 19.

RNALocate: a resource for RNA subcellular localizations.

Author information

1
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
2
Key Laboratory for NeuroInformation of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
3
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China kongningli@hotmail.com.
4
Key Laboratory for NeuroInformation of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China hlin@uestc.edu.cn.
5
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China wangdong@ems.hrbmu.edu.cn.
6
Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou 515041, China.

Abstract

Increasing evidence has revealed that RNA subcellular localization is a very important feature for deeply understanding RNA's biological functions after being transported into intra- or extra-cellular regions. RNALocate is a web-accessible database that aims to provide a high-quality RNA subcellular localization resource and facilitate future researches on RNA function or structure. The current version of RNALocate documents more than 37 700 manually curated RNA subcellular localization entries with experimental evidence, involving more than 21 800 RNAs with 42 subcellular localizations in 65 species, mainly including Homo sapiens, Mus musculus and Saccharomyces cerevisiae etc. Besides, RNA homology, sequence and interaction data have also been integrated into RNALocate. Users can access these data through online search, browse, blast and visualization tools. In conclusion, RNALocate will be of help in elucidating the entirety of RNA subcellular localization, and developing new prediction methods. The database is available at http://www.rna-society.org/rnalocate/.

PMID:
27543076
PMCID:
PMC5210605
DOI:
10.1093/nar/gkw728
[Indexed for MEDLINE]
Free PMC Article

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