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Identification of clustered microRNAs using an <Emphasis Type="Italic">ab initio</Emphasis> prediction method
Authors:Alain?Sewer  Nicodème?Paul  Pablo?Landgraf  Alexei?Aravin  Sébastien?Pfeffer  Michael?J?Brownstein  Thomas?Tuschl  Erik?van Nimwegen  Email author" target="_blank">Mihaela?ZavolanEmail author
Institution:1.Biozentrum, Universit?t Basel,Basel,Switzerland;2.Laboratory of RNA Molecular Biology,Rockefeller University,New York,USA;3.J. Craig Venter Institute,Functional Genomics,Rockville,USA;4.IBMP-CNRS,Strasbourg,France
Abstract:

Background  

MicroRNAs (miRNAs) are endogenous 21 to 23-nucleotide RNA molecules that regulate protein-coding gene expression in plants and animals via the RNA interference pathway. Hundreds of them have been identified in the last five years and very recent works indicate that their total number is still larger. Therefore miRNAs gene discovery remains an important aspect of understanding this new and still widely unknown regulation mechanism. Bioinformatics approaches have proved to be very useful toward this goal by guiding the experimental investigations.
Keywords:
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