mirPub: a database for searching microRNA publications

Vergoulis, T, KanelloS, I, Kostoulas, N, Georgakilas, G, Sellis, T, Hatzigeorgiou, A and Dalamagas, T 2015, 'mirPub: a database for searching microRNA publications', Bioinformatics, vol. 31, no. 9, pp. 1502-1504.

Document type: Journal Article
Collection: Journal Articles

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Title mirPub: a database for searching microRNA publications
Author(s) Vergoulis, T
KanelloS, I
Kostoulas, N
Georgakilas, G
Sellis, T
Hatzigeorgiou, A
Dalamagas, T
Year 2015
Journal name Bioinformatics
Volume number 31
Issue number 9
Start page 1502
End page 1504
Total pages 3
Publisher Oxford University Press
Abstract Identifying, amongst millions of publications available in MEDLINE, those that are relevant to specific microRNAs (miRNAs) of interest based on keyword search faces major obstacles. References to miRNA names in the literature often deviate from standard nomenclature for various reasons, since even the official nomenclature evolves. For instance, a single miRNA name may identify two completely different molecules or two different names may refer to the same molecule. mirPub is a database with a powerful and intuitive interface, which facilitates searching for miRNA literature, addressing the aforementioned issues. To provide effective search services, mirPub applies text mining techniques on MEDLINE, integrates data from several curated databases and exploits data from its user community following a crowdsourcing approach. Other key features include an interactive visualization service that illustrates intuitively the evolution of miRNA data, tag clouds summarizing the relevance of publications to particular diseases, cell types or tissues and access to TarBase 6.0 data to oversee genes related to miRNA publications.
Subject Database Management
Keyword(s) Scientific databases
MicroRNA databases
DOI - identifier 10.1093/bioinformatics/btu819
Copyright notice © The Author 2014. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
ISSN 1367-4803
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 8 times in Scopus Article | Citations
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