DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association

microRNAs (miRNAs) are small endogenous RNA molecules that are implicated in many biological processes through post-transcriptional regulation of gene expression. The DIANA-microT Web server provides a user-friendly interface for comprehensive computational analysis of miRNA targets in human and mou...

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Bibliographic Details
Published in:	Nucleic acids research Vol. 39; no. suppl_2; pp. W145 - W148
Main Authors:	Maragkakis, Manolis, Vergoulis, Thanasis, Alexiou, Panagiotis, Reczko, Martin, Plomaritou, Kyriaki, Gousis, Mixail, Kourtis, Kornilios, Koziris, Nectarios, Dalamagas, Theodore, Hatzigeorgiou, Artemis G.
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 01-07-2011
Subjects:	Animals Bibliography as Topic Caenorhabditis elegans - genetics Disease - genetics Drosophila melanogaster - genetics Genetic Association Studies Humans Internet Mice MicroRNAs - metabolism Software
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Summary:	microRNAs (miRNAs) are small endogenous RNA molecules that are implicated in many biological processes through post-transcriptional regulation of gene expression. The DIANA-microT Web server provides a user-friendly interface for comprehensive computational analysis of miRNA targets in human and mouse. The server has now been extended to support predictions for two widely studied species: Drosophila melanogaster and Caenorhabditis elegans. In the updated version, the Web server enables the association of miRNAs to diseases through bibliographic analysis and provides insights for the potential involvement of miRNAs in biological processes. The nomenclature used to describe mature miRNAs along different miRBase versions has been extensively analyzed, and the naming history of each miRNA has been extracted. This enables the identification of miRNA publications regardless of possible nomenclature changes. User interaction has been further refined allowing users to save results that they wish to analyze further. A connection to the UCSC genome browser is now provided, enabling users to easily preview predicted binding sites in comparison to a wide array of genomic tracks, such as single nucleotide polymorphisms. The Web server is publicly accessible in www.microrna.gr/microT-v4.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.
ISSN:	0305-1048 1362-4962
DOI:	10.1093/nar/gkr294