mirecords

Ingenuity Announces New Additional MicroRNA Content to Complement First-of-its-Kind MicroRNA Filtering Capability in IPA

by Christoph on September 20, 2011

New experimentally demonstrated miRecords content enhances the powerful target prioritization capabilities of IPA’s microRNA Target Filter.

REDWOOD CITY, Calif., Sept. 20, 2011 – Ingenuity® Systems, a leading provider of information and analytics solutions for life science researchers, today announced the addition of new experimentally validated microRNA-mRNA target interactions from miRecords, plus thousands of additional miRNA-mRNA interactions manually curated from additional peer-reviewed literature. The newly added content supplements existing experimentally demonstrated and predicted miRNA targets in IPA, and will be used by IPA’s microRNA Target Filter to help researchers quickly and reliably prioritize miRNA target interactions.

“IPA and its microRNA Target Filter have been very impactful for our research,” stated Arupa Ganguly, Ph.D. Professor of Genetics at the Hospital of the University of Pennsylvania. “We compared gene expression signatures of matched normal retinal tissue and retinoblastoma tumor tissue, and then used IPA for biological analysis of the data.  Using microRNA and mRNA from same tumors, we [click to continue…]

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microRNA Target Prediction Tools

by Chris on November 16, 2009

miRecords is resource for animal miRNA-target interactions developed at the University of Minnesota. miRecords consists of two components. The Validated Targets component is a large, high-quality database of experimentally validated miRNA targets resulting from meticulous literature curation. The Predicted Targets component of miRecords is an integration of predicted miRNA targets produced by 11 established miRNA target prediction programs

PicTar is an algorithm for the identification of microRNA targets. This searchable website provides details (3′ UTR alignments with predicted sites, links to various public databases etc) regarding microRNA target predictions in vertebrates, several Drosophila species, and C. elegans.

miRanda is an algorithm for finding genomic targets for microRNAs. This algorithm has been written in C and is available as an open-source method under the GPL. MiRanda was developed at the Computational Biology Center of Memorial Sloan-Kettering Cancer Center. This software will be further developed under the open source model, coordinated by Anton Enright and Chris Sander (miranda@cbio.mskcc.org).

TargetScan: Prediction of microRNA targets – These are the most recent TargetScanS predictions (April 2005). They are essentially the 3′UTR targets reported in the Lewis et al., 2005 paper, with a few changes arising from updated gene boundary definitions from the April 2005 UCSC genome browser mapping of RefSeq mRNAs to the hg17 human genome assembly. To avoid difficulties in browser display, the few predictions spanning splice junctions are excluded.   [click to continue…]

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