myMIR: a genome-wide microRNA targets identification and annotation tool (Articolo in rivista)

Type
Label
  • myMIR: a genome-wide microRNA targets identification and annotation tool (Articolo in rivista) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1093/bib/bbr062 (literal)
Alternative label
  • Corrada, Dario; Viti, Federica; Merelli, Ivan; Battaglia, Cristina; Milanesi, Luciano (2011)
    myMIR: a genome-wide microRNA targets identification and annotation tool
    in Briefings in bioinformatics
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Corrada, Dario; Viti, Federica; Merelli, Ivan; Battaglia, Cristina; Milanesi, Luciano (literal)
Pagina inizio
  • 588 (literal)
Pagina fine
  • 600 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 12 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 13 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 6 (literal)
Note
  • ISI Web of Science (WoS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Natl Res Council ITB CNR; Dept Sci & Biomed Technol; University of Milan; Inst Biomed Technol CNR ITB (literal)
Titolo
  • myMIR: a genome-wide microRNA targets identification and annotation tool (literal)
Abstract
  • miRNA target genes prediction represents a crucial step in miRNAs functional characterization. In this context, the challenging issue remains predictions accuracy and recognition of false positive results. In this article myMIR, a web based system for increasing reliability of miRNAs predicted targets lists, is presented. myMIR implements an integrated pipeline for computing ranked miRNA::target lists and provides annotations for narrowing them down. The system relies on knowledge base data, suitably integrated in order to extend the functional characterization of targeted genes to miRNAs, by highlighting the search on over-represented annotation terms. Validation results show a dramatic reduction in the quantity of predictions and an increase in the sensitivity, when compared to other methods. This improves the predictions accuracy and allows the formulation of novel hypotheses on miRNAs functional involvement. (literal)
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