Combinatorial miRNA target prediction tool

ComiR (Combinatorial miRNA targeting) predicts whether a given mRNA is targeted by a set of miRNAs. ComiR uses miRNA expression to improve and combine multiple miRNA targets for each of the four prediction algorithms: miRanda, PITA, TargetScan and mirSVR. The composite scores of the four algorithms are then combined using a support vector machine trained on Drosophila Ago1 IP data. Click here to run ComiR Last update: 10/20/2015 What's new? Supported species: H. sapiens, M. musculus, D. melanogaster , C. elegans. Comments/suggestions: clc196 [at] pitt [dot] edu Click to downoad ComiR script and help file. Download specific species files here: H.sapiens (380G; tar.gz:15G) M.musculus (68G; tar.gz:9.3G) D.melanogaster (3G; tar.gz:520M) C.elegans (1.3G; tar.gz:275M) If you find ComiR useful please cite: C. Coronnello, R. Hartmaier, A. Arora, L. Huleihel, K.V. Pandit, A.S Bais, M. Butterworth, N. Kaminski, G.D. Stormo, S. Oesterreich, P.V. Benos (2012), Novel modeling of combinatorial miRNA targeting identifies SNP with potential role in bone density", PLoS Comput Bio 8(12): e1002830. doi:10.1371/journal.pcbi.1002830 C. Coronnello, P.V. Benos (2013), ComiR: Combinatorial microRNA target prediction tool", Nucl Acids Res 41 (Web Server issue): W159-64 Useful Links miRNA info databases validated miRNA - target databases other target prediction tools miRBase, Tissue specific expression, MiRscan, mir2disease TarBase, miRecords miRanda, PITA, TargetScan, RNAhybrid, DIANA MicroT, miRTar, TargetMiner, PicTar, GenMiR++, TaLasso             Supported by the National Library of Midicine - NIH   Fondazione RiMED   Go to the help page Go to the Benos Laboratory web page Go to the Department of Computational Biology main web page Go to the University of Pittsburgh main web page