MicroRNAs and cancer-the search begins!
IEEE Transactions on Information Technology in Biomedicine
DuplexFinder: Predicting the miRNA miRNA* duplex from the animal precursors
International Journal of Bioinformatics Research and Applications
BSB'11 Proceedings of the 6th Brazilian conference on Advances in bioinformatics and computational biology
In silico prediction of noncoding RNAs using supervised learning and feature ranking methods
International Journal of Bioinformatics Research and Applications
In silico prediction of noncoding RNAs using supervised learning and feature ranking methods
International Journal of Bioinformatics Research and Applications
An SVM-Based approach to discover MicroRNA precursors in plant genomes
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Research Article: On topological indices for small RNA graphs
Computational Biology and Chemistry
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Summary: Recently, genome-wide surveys for non-coding RNAs have provided evidence for tens of thousands of previously undescribed evolutionary conserved RNAs with distinctive secondary structures. The annotation of these putative ncRNAs, however, remains a difficult problem. Here we describe an SVM-based approach that, in conjunction with a non-stringent filter for consensus secondary structures, is capable of efficiently recognizing microRNA precursors in multiple sequence alignments. The software was applied to recent genome-wide RNAz surveys of mammals, urochordates, and nematodes. Availability: The program RNAmicro is available as source code and can be downloaded from Contact:Jana Hertel, Tel: ++49 341 97 16704, Fax: ++49 341 97 16709, {jana,studla}@bioinf.uni-leipzig.de