DIANA-microT web server v5.0: service integration into miRNA functional analysis workflows

Maria D. Paraskevopoulou(University of Thessaly), Γεώργιος Γεωργακίλας(National and Kapodistrian University of Athens), Nikos Kostoulas(National and Kapodistrian University of Athens), Ioannis S. Vlachos(National and Kapodistrian University of Athens), Thanasis Vergoulis(Institute of Nuclear and Particle Physics), Martin Reczko(National and Kapodistrian University of Athens), Christos Filippidis(University of Thessaly), Theodore Dalamagas(National and Kapodistrian University of Athens), Artemis G. Hatzigeorgiou(Alexander Fleming Biomedical Sciences Research Center)
Nucleic Acids Research
May 16, 2013
Cited by 1,194Open Access
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Abstract

MicroRNAs (miRNAs) are small endogenous RNA molecules that regulate gene expression through mRNA degradation and/or translation repression, affecting many biological processes. DIANA-microT web server (http://www.microrna.gr/webServer) is dedicated to miRNA target prediction/functional analysis, and it is being widely used from the scientific community, since its initial launch in 2009. DIANA-microT v5.0, the new version of the microT server, has been significantly enhanced with an improved target prediction algorithm, DIANA-microT-CDS. It has been updated to incorporate miRBase version 18 and Ensembl version 69. The in silico-predicted miRNA-gene interactions in Homo sapiens, Mus musculus, Drosophila melanogaster and Caenorhabditis elegans exceed 11 million in total. The web server was completely redesigned, to host a series of sophisticated workflows, which can be used directly from the on-line web interface, enabling users without the necessary bioinformatics infrastructure to perform advanced multi-step functional miRNA analyses. For instance, one available pipeline performs miRNA target prediction using different thresholds and meta-analysis statistics, followed by pathway enrichment analysis. DIANA-microT web server v5.0 also supports a complete integration with the Taverna Workflow Management System (WMS), using the in-house developed DIANA-Taverna Plug-in. This plug-in provides ready-to-use modules for miRNA target prediction and functional analysis, which can be used to form advanced high-throughput analysis pipelines.


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