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Defining and providing robust controls for microRNA prediction
Article de revue   Avec comité de lecture

Defining and providing robust controls for microRNA prediction

William Ritchie, Dadi Gao et John E. J. Rasko
BIOINFORMATICS, Vol.28(8), pp.1058-1061
15/04/2012
PMID: 22408193

Résumé

Biochemical Research Methods Biochemistry & Molecular Biology Biotechnology & Applied Microbiology Computer Science Computer Science, Interdisciplinary Applications Life Sciences & Biomedicine Mathematical & Computational Biology Mathematics Physical Sciences Science & Technology Statistics & Probability Technology
Motivation: microRNAs are short non-coding RNAs that regulate gene expression by inhibiting target mRNA genes. Next-generation sequencing combined with bioinformatics analyses provide an opportunity to predict numerous novel miRNAs. The efficiency of these predictions relies on the set of positive and negative controls used. We demonstrate that commonly used positive and negative controls may be unreliable and provide a rational methodology with which to replace them.

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