Article (Accepted version) (2.6 MB) - 
Free accessOther version: http://nar.oxfordjournals.org/cgi/content/full/37/suppl_1/D111
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Scientific Article
unige:642 
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miROrtho: computational survey of microRNA genes |
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| Authors | ||
| Published in | Nucleic Acids Research. 2009, vol. 37, no. Database issue, p. D111-7 | |
| Abstract | MicroRNAs (miRNAs) are short, non-protein coding RNAs that direct the widespread phenomenon of post-transcriptional regulation of metazoan genes. The mature approximately 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. | |
| Identifiers | DOI: 10.1093/nar/gkn707 PMID: 18927110 | |
| Full text |
Article (Accepted version) (2.6 MB) - Free access Other version: http://nar.oxfordjournals.org/cgi/content/full/37/suppl_1/D111 |
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| Structures | ||
| Research group | Génomique Evolutionnaire Computationnelle (830) | |
| Citation (ISO format) | GERLACH, Daniel et al. miROrtho: computational survey of microRNA genes. In: Nucleic Acids Research, 2009, vol. 37, n° Database issue, p. D111-7. doi: 10.1093/nar/gkn707 https://archive-ouverte.unige.ch/unige:642 |
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