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PITA offers a brand new view on the miRNA target prediction. The main assumption is based on the fact the mRNA structure plays a role in target recognition by thermodynamically promoting or disfavoring the interaction.
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.
PITA includes lists of predicted microRNA targets in worm, mouse, fly and human. For each organism, the top predictions or the complete list of predictions are available to download. It uses standard settings to identify initial seeds for each microRNA in 3’ untranslated transcribed region (UTR).
A database which integrates seven well known miRNA target gene prediction programs: DIANA, miRanda, miRBridge, PicTar, PITA, rna22, and TargetScan. This database contains validated data from TarBase and miRecords on interaction between miRNA and its target genes.
PITA allows you to run the PITA algorithm on your choice of UTRs and microRNAs. PITA starts by scanning the UTR for potential microRNA targets (using the supplied seed matching tools) and then scores each site
miRSystem is a database which integrates seven well known miRNA target gene prediction programs: DIANA, miRanda, miRBridge, PicTar, PITA, rna22, and TargetScan. This database contains validated data from TarBase and miRecords on interaction between miRNA and its target genes.
miRDB is an online database for miRNA target prediction and functional annotations. All the targets in miRDB were predicted by a bioinformatics tool, MirTarget, which was developed by analyzing thousands of miRNA-target interactions from high-throughput sequencing experiments.
