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Hackenberg, M.* ; Sturm, M. ; Langenberger, D.* ; Falcón-Pérez, J.M.* ; Aransay, A.M.*

miRanalyzer: A microRNA detection and analysis tool for next-generation sequencing experiments.

Nucleic Acids Res. 37, (Suppl.1), W68-W76 (2009)
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Open Access Gold
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Next-generation sequencing allows now the sequencing of small RNA molecules and the estimation of their expression levels. Consequently, there will be a high demand of bioinformatics tools to cope with the several gigabytes of sequence data generated in each single deep-sequencing experiment. Given this scene, we developed miRanalyzer, a web server tool for the analysis of deep-sequencing experiments for small RNAs. The web server tool requires a simple input file containing a list of unique reads and its copy numbers (expression levels). Using these data, miRanalyzer (i) detects all known microRNA sequences annotated in miRBase, (ii) finds all perfect matches against other libraries of transcribed sequences and (iii) predicts new microRNAs. The prediction of new microRNAs is an especially important point as there are many species with very few known microRNAs. Therefore, we implemented a highly accurate machine learning algorithm for the prediction of new microRNAs that reaches AUC values of 97.9% and recall values of up to 75% on unseen data. The web tool summarizes all the described steps in a single output page, which provides a comprehensive overview of the analysis, adding links to more detailed output pages for each analysis module. miRanalyzer is available at http://web.bioinformatics.cicbiogune.es/microRNA/.
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Publication type Article: Journal article
Document type Scientific Article
Keywords IDENTIFICATION; DATABASE; GENES; CLASSIFICATION; PREDICTION; FEATURES; TARGETS; SERVER; REAL
Language english
Publication Year 2009
HGF-reported in Year 0
ISSN (print) / ISBN 0305-1048
e-ISSN 1362-4962
Quellenangaben Volume: 37, Issue: Web Server issue, Pages: W68-W76, Article Number: , Supplement: (Suppl.1)
Publisher Oxford University Press
Reviewing status Peer reviewed
POF-Topic(s) 30505 - New Technologies for Biomedical Discoveries
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503700-001
PubMed ID 19433510
Scopus ID 67849114241
Erfassungsdatum 2009-11-20