DIANA-microT web server: elucidating microRNA functions through target prediction. Export

@article{citeulike:4457017, abstract = {Computational microRNA (miRNA) target prediction is one of the key means for deciphering the role of miRNAs in development and disease. Here, we present the DIANA-microT web server as the user interface to the DIANA-microT 3.0 miRNA target prediction algorithm. The web server provides extensive information for predicted miRNA:target gene interactions with a user-friendly interface, providing extensive connectivity to online biological resources. Target gene and miRNA functions may be elucidated through automated bibliographic searches and functional information is accessible through Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The web server offers links to nomenclature, sequence and protein databases, and users are facilitated by being able to search for targeted genes using different nomenclatures or functional features, such as the genes possible involvement in biological pathways. The target prediction algorithm supports parameters calculated individually for each miRNA:target gene interaction and provides a signal-to-noise ratio and a precision score that helps in the evaluation of the significance of the predicted results. Using a set of miRNA targets recently identified through the pSILAC method, the performance of several computational target prediction programs was assessed. DIANA-microT 3.0 achieved there with 66\% the highest ratio of correctly predicted targets over all predicted targets. The DIANA-microT web server is freely available at www.microrna.gr/microT.}, author = {Maragkakis, M. and Reczko, M. and Simossis, V. A. and Alexiou, P. and Papadopoulos, G. L. and Dalamagas, T. and Giannopoulos, G. and Goumas, G. and Koukis, E. and Kourtis, K. and Vergoulis, T. and Koziris, N. and Sellis, T. and Tsanakas, P. and Hatzigeorgiou, A. G.}, citeulike-article-id = {4457017}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gkp292}, citeulike-linkout-1 = {http://nar.oxfordjournals.org/cgi/content/abstract/37/suppl_2/W273?etoc}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19406924}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19406924}, doi = {10.1093/nar/gkp292}, issn = {1362-4962}, journal = {Nucleic acids research}, keywords = {application, functions, microrna, prediction, server, site, target, web}, month = {July}, number = {Web Server issue}, pages = {W273--276}, posted-at = {2009-06-30 10:29:45}, priority = {2}, title = {DIANA-microT web server: elucidating microRNA functions through target prediction.}, url = {http://dx.doi.org/10.1093/nar/gkp292}, volume = {37}, year = {2009} }

TY - JOUR ID - citeulike:4457017 L3 - citeulike-article-id:4457017 N2 - Computational microRNA (miRNA) target prediction is one of the key means for deciphering the role of miRNAs in development and disease. Here, we present the DIANA-microT web server as the user interface to the DIANA-microT 3.0 miRNA target prediction algorithm. The web server provides extensive information for predicted miRNA:target gene interactions with a user-friendly interface, providing extensive connectivity to online biological resources. Target gene and miRNA functions may be elucidated through automated bibliographic searches and functional information is accessible through Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The web server offers links to nomenclature, sequence and protein databases, and users are facilitated by being able to search for targeted genes using different nomenclatures or functional features, such as the genes possible involvement in biological pathways. The target prediction algorithm supports parameters calculated individually for each miRNA:target gene interaction and provides a signal-to-noise ratio and a precision score that helps in the evaluation of the significance of the predicted results. Using a set of miRNA targets recently identified through the pSILAC method, the performance of several computational target prediction programs was assessed. DIANA-microT 3.0 achieved there with 66% the highest ratio of correctly predicted targets over all predicted targets. The DIANA-microT web server is freely available at www.microrna.gr/microT. IS - Web Server issue JF - Nucleic acids research SN - 1362-4962 EP - 276 TI - DIANA-microT web server: elucidating microRNA functions through target prediction. VL - 37 SP - W273 KW - application KW - functions KW - microrna KW - prediction KW - server KW - site KW - target KW - web AU - Maragkakis, M AU - Reczko, M AU - Simossis, VA AU - Alexiou, P AU - Papadopoulos, GL AU - Dalamagas, T AU - Giannopoulos, G AU - Goumas, G AU - Koukis, E AU - Kourtis, K AU - Vergoulis, T AU - Koziris, N AU - Sellis, T AU - Tsanakas, P AU - Hatzigeorgiou, AG PY - 2009/07/01/ UR - http://dx.doi.org/10.1093/nar/gkp292 ER -