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Nucleic Acids Res. 2014;42(16):e124. doi: 10.1093/nar/gku598. Epub 2014 Jul 22.

miRdentify: high stringency miRNA predictor identifies several novel animal miRNAs.

Author information

1
Department of Molecular Biology and Genetics (MBG), Aarhus University, Aarhus, Denmark tbh@mb.au.dk.
2
Department of Molecular Biology and Genetics (MBG), Aarhus University, Aarhus, Denmark Interdisciplinary Nanoscience Center (iNANO), Aarhus University, Aarhus, Denmark.
3
Department of Molecular Biology and Genetics (MBG), Aarhus University, Aarhus, Denmark.

Abstract

During recent years, miRNAs have been shown to play important roles in the regulation of gene expression. Accordingly, much effort has been put into the discovery of novel uncharacterized miRNAs in various organisms. miRNAs are structurally defined by a hairpin-loop structure recognized by the two-step processing apparatus, Drosha and Dicer, necessary for the production of mature ∼ 22-nucleotide miRNA guide strands. With the emergence of high-throughput sequencing applications, tools have been developed to identify miRNAs and profile their expression based on sequencing reads. However, as the read depth increases, false-positive predictions increase using established algorithms, underscoring the need for more stringent approaches. Here we describe a transparent pipeline for confident miRNA identification in animals, termed miRdentify. We show that miRdentify confidently discloses more than 400 novel miRNAs in humans, including the first male-specific miRNA, which we successfully validate. Moreover, novel miRNAs are predicted in the mouse, the fruit fly and nematodes, suggesting that the pipeline applies to all animals. The entire software package is available at www.ncrnalab.dk/mirdentify.

PMID:
25053842
PMCID:
PMC4176371
DOI:
10.1093/nar/gku598
[Indexed for MEDLINE]
Free PMC Article

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