Diana microt web server elucidating microrna functions through target prediction chunky dating
DIANA-micro T web server v5.0: service integration into mi RNA functional analysis workflows.
Nucleic Acids Research 2013 Jul;41(Web Server issue): W169-73.
micro RNAs (mi RNAs) are small endogenous RNA molecules that are implicated in many biological processes through post-transcriptional regulation of gene expression.
The DIANA-micro T Web server provides a user-friendly interface for comprehensive computational analysis of mi RNA targets in human and mouse.
This is not an indication of a security issue such as a virus or attack.
It could be something as simple as a run away script or learning how to better use E-utilities, for more efficient work such that your work does not impact the ability of other researchers to also use our site.
The nomenclature used to describe mature mi RNAs along different mi RBase versions has been extensively analyzed, and the naming history of each mi RNA has been extracted.
Hatzigeorgiou DIANA-micro T Web server upgrade supports Fly and Worm mi RNA target prediction and bibliographic mi RNA to disease association Nucleic Acids Research 2011 (Webserver issue) Pub Med Alexiou P, Maragkakis M, Papadopoulos GL, Simmosis VA, Zhang L, Hatzigeorgiou AG (2010) The DIANA-mir Ex Tra web server: from gene expression data to micro RNA function., PLo S ONE ,2010 Feb 11;5(2):e9171. The first mi RNA molecules and mi RNA targets were identified in 1993 via classical genetic techniques in (2).Since then, there has been a dramatic increase in the number of mi RNAs registered in mi RBase (3).DIANA LAB TOOLS PUBLICATIONS Paraskevopoulou MD, Georgakilas G, Kostoulas N, Reczko M, Maragkakis M, Dalamagas TM, Hatzigeorgiou AG. DIANA-Lnc Base: experimentally verified and computationally predicted micro RNA targets on long non-coding RNAs. Paraskevopoulou MD, Georgakilas G, Kostoulas N, Vlachos IS, Vergoulis T, Reczko M, Filippidis C, Dalamagas T, Hatzigeorgiou AG.
Updates enable the association of mi RNAs to diseases through bibliographic analysis and connection to the UCSC genome browser.