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Nucleic Acids Res. 2015 Jul 1;43(W1):W460-6. doi: 10.1093/nar/gkv403. Epub 2015 May 14.

DIANA-miRPath v3.0: deciphering microRNA function with experimental support.

Author information

1
DIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 382 21 Volos, Greece Laboratory for Experimental Surgery and Surgical Research 'N.S. Christeas', Medical School of Athens, University of Athens, 11527 Athens, Greece ivlachos@lessr.eu.
2
'Athena' Research and Innovation Center, 11524 Athens, Greece University of Peloponnisos, Department of Informatics and Telecommunications, 22100 Tripoli, Greece.
3
DIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 382 21 Volos, Greece.
4
'Athena' Research and Innovation Center, 11524 Athens, Greece.
5
'Athena' Research and Innovation Center, 11524 Athens, Greece ivlachos@lessr.eu.
6
DIANA-Lab, Department of Electrical & Computer Engineering, University of Thessaly, 382 21 Volos, Greece 'Athena' Research and Innovation Center, 11524 Athens, Greece ivlachos@lessr.eu.

Abstract

The functional characterization of miRNAs is still an open challenge. Here, we present DIANA-miRPath v3.0 (http://www.microrna.gr/miRPathv3) an online software suite dedicated to the assessment of miRNA regulatory roles and the identification of controlled pathways. The new miRPath web server renders possible the functional annotation of one or more miRNAs using standard (hypergeometric distributions), unbiased empirical distributions and/or meta-analysis statistics. DIANA-miRPath v3.0 database and functionality have been significantly extended to support all analyses for KEGG molecular pathways, as well as multiple slices of Gene Ontology (GO) in seven species (Homo sapiens, Mus musculus, Rattus norvegicus, Drosophila melanogaster, Caenorhabditis elegans, Gallus gallus and Danio rerio). Importantly, more than 600 000 experimentally supported miRNA targets from DIANA-TarBase v7.0 have been incorporated into the new schema. Users of DIANA-miRPath v3.0 can harness this wealth of information and substitute or combine the available in silico predicted targets from DIANA-microT-CDS and/or TargetScan v6.2 with high quality experimentally supported interactions. A unique feature of DIANA-miRPath v3.0 is its redesigned Reverse Search module, which enables users to identify and visualize miRNAs significantly controlling selected pathways or belonging to specific GO categories based on in silico or experimental data. DIANA-miRPath v3.0 is freely available to all users without any login requirement.

PMID:
25977294
PMCID:
PMC4489228
DOI:
10.1093/nar/gkv403
[Indexed for MEDLINE]
Free PMC Article

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