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

Abstract:

: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/.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Hackenberg M,Sturm M,Langenberger D,Falcón-Pérez JM,Aransay AM

doi

10.1093/nar/gkp347

subject

Has Abstract

pub_date

2009-07-01 00:00:00

pages

W68-76

issue

Web Server issue

eissn

0305-1048

issn

1362-4962

pii

gkp347

journal_volume

37

pub_type

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