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Title: miROrtho: computational survey of microRNA genes

Journal Article · · Nucleic Acids Research
DOI: https://doi.org/10.1093/nar/gkn707 · OSTI ID:1625452
 [1];  [2];  [2];  [3];  [4]
  1. Univ. of Geneva (Switzerland); Swiss Inst. of Bioformatics, Lausanne (Switzerland); DOE/OSTI
  2. Univ. of Geneva (Switzerland)
  3. Univ. of Geneva (Switzerland); Swiss Inst. of Bioformatics, Lausanne (Switzerland)
  4. Univ. of Geneva (Switzerland); Swiss Inst. of Bioformatics, Lausanne (Switzerland); Imperial College, London (United Kingdom)

MicroRNAs (miRNAs) are short, non-protein coding RNAs that direct the widespread phenomenon of post-transcriptional regulation of metazoan genes. The mature ~22-nt long RNA molecules are processed from genome-encoded stem-loop structured precursor genes. Hundreds of such genes have been experimentally validated in vertebrate genomes, yet their discovery remains challenging, and substantially higher numbers have been estimated. The miROrtho database (http://cegg.unige. ch/mirortho) presents the results of a comprehensive computational survey of miRNA gene candidates across the majority of sequenced metazoan genomes. We designed and applied a three-tier analysis pipeline: (i) an SVM-based ab initio screen for potent hairpins, plus homologs of known miRNAs, (ii) an orthology delineation procedure and (iii) an SVM-based classifier of the ortholog multiple sequence alignments. The web interface provides direct access to putative miRNA annotations, ortholog multiple alignments, RNA secondary structure conservation, and sequence data. The miROrtho data are conceptually complementary to the miRBase catalog of experimentally verified miRNA sequences, providing a consistent comparative genomics perspective as well as identifying many novel miRNA genes with strong evolutionary support.

Research Organization:
USDOE Joint Genome Institute (JGI), Berkeley, CA (United States); University of Geneva (Switzerland)
Sponsoring Organization:
Swiss National Science Foundation (SNF); USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
OSTI ID:
1625452
Journal Information:
Nucleic Acids Research, Journal Name: Nucleic Acids Research Journal Issue: Database Vol. 37; ISSN 0305-1048
Publisher:
Oxford University PressCopyright Statement
Country of Publication:
United States
Language:
English

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