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Computationally predicted mRNA targets

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Gene. MiREE. Summary miREE is an ensemble of two parts with integrated roles in the prediction an Ab-initio module followed by an SVM module (machine learning technique) Related Applications Ab Initio: miranda,targetscan, Pictar Machine learning:Targetboost, miTarget, ensemble algorithm, NBmiRTar, miRtarget2, miRTif, Targetminer, Databases: microRNA sequences mirbasemRNA sequences Ensembl Genome Browser miRNA experimental records :miRecordsTarbase Contact paula.reyesherrera@polito.it.

Untitled Document. DIANA-microT version 3 available here! Main site How to run DIANA-microT program: 1. You can select a file of miRNAs downloaded from Rfam database ( You can also paste your own miRNA sequences in the provided text field. If you use your own sequences: a. B. C. 2. 3. If you have any suggestions, problems, or questions about how to run DIANA-microT please contact: Artemis Hatzigeorgiou: agh@pcbi.upenn.edu Benoit Corda : cordabe@pcbi.upenn.edu.

MiRmap. Abstract MicroRNAs, or miRNAs, post-transcriptionally repress the expression of protein-coding genes. The human genome encodes over 1000 miRNA genes that collectively target the vast majority of messenger RNAs (mRNAs). Base-pairing of the so-called miRNA “seed” region with mRNAs identifies many thousands of putative targets. Evaluating the strength of the resulting mRNA repression remains challenging, but is essential for a biologically informative ranking of potential miRNA targets. To address these challenges, predictors may employ thermodynamic, evolutionary, probabilistic, or sequence-based features. If you have any comments or requests, please email Charles E. MiRNA target predictions User-friendly and feature-rich miRmap web application. Start the tutorial here. Programmatic way of accessing miRmap online predictions: all the functionnality of the web interface through a REST interface. Datasets (flat files) Note 1: File name format <release_name>_<species>_<content>.csv.xz.

MicroRNA Target Prediction And Functional Study Database. MiRediTar - A database of A-to-I edited miRNA target sites. A-to-I RNA editing is an important epigenetic mechanism which consists of the conversion of specific adenosines into inosines in RNA molecules. It is a physiological process that contributes to the diversity of the transcriptome. Its dysregulation has been associated to several human diseases including cancer. Recent work has demonstrated a role for A-to-I editing in microRNA (miRNA) mediated gene expression regulation.

In fact, edited forms of mature miRNAs can target sets of genes that differ from the targets of their unedited forms. The specific deamination of mRNAs can generate novel binding sites in addition to potentially alter existing ones. miR-EdiTar is a database of predicted A-to-I edited miRNA binding sites. Choose "Search by miRNA" to select a specific miRNA or browse the list of miRNAs or "Search by Target" to select a specific target gene or browse the list of target genes. References If you use miR-Editar please cite the following paper: MimiRNa. Microcosm Targets. DIANA LAB microT v5.0. TargetScan Human 6.2.