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Computational analysis and prediction of microRNA binding sites

Presented by: 
A Enright [Sanger]
Wednesday 2nd April 2008 - 09:00 to 10:00
INI Seminar Room 1

MicroRNAs (miRNAs) are small 22 nucleotide RNA molecules that directly bind to the 3' Untranslated regions of protein-coding messenger RNAs. This binding event represses the target transcript rendering it unsuitable for protein production and causing its degradation. Many miRNAs have been found and a large-number of them have already been implicated in human disease and development. We have developed a number of computational approaches for predicting the target transcripts of miRNAs. One method (miRanda) is purely computational and uses a simple dynamic programming algorithm and a statistical model to identify significant binding sites. Our second approach (Sylamer) is an algorithm for scanning genome sequences for 7mer words and testing gene-expression data to identify gene sets which are significantly enriched or depleted in such 7mer words using Hypergeometric Statistics. This combined computational/experimental approach has worked extremely well for identifying candidate miRNA targets in B and T blood cells, developing Zebrafish embryos and in mouse mutants with deafness.

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Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons