| pubmed-article:19405940 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:19405940 | lifeskim:mentions | umls-concept:C0014653 | lld:lifeskim |
| pubmed-article:19405940 | lifeskim:mentions | umls-concept:C0036668 | lld:lifeskim |
| pubmed-article:19405940 | lifeskim:mentions | umls-concept:C0017428 | lld:lifeskim |
| pubmed-article:19405940 | lifeskim:mentions | umls-concept:C1101610 | lld:lifeskim |
| pubmed-article:19405940 | lifeskim:mentions | umls-concept:C0560187 | lld:lifeskim |
| pubmed-article:19405940 | lifeskim:mentions | umls-concept:C0681842 | lld:lifeskim |
| pubmed-article:19405940 | pubmed:dateCreated | 2009-5-29 | lld:pubmed |
| pubmed-article:19405940 | pubmed:abstractText | MicroRNAs (miRNAs), short approximately 21-nucleotide RNA molecules, play an important role in post-transcriptional regulation of gene expression. The number of known miRNA hairpins registered in the miRBase database is rapidly increasing, but recent reports suggest that many miRNAs with restricted temporal or tissue-specific expression remain undiscovered. Various strategies for in silico miRNA identification have been proposed to facilitate miRNA discovery. Notably support vector machine (SVM) methods have recently gained popularity. However, a drawback of these methods is that they do not provide insight into the biological properties of miRNA sequences. | lld:pubmed |
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| pubmed-article:19405940 | pubmed:language | eng | lld:pubmed |
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| pubmed-article:19405940 | pubmed:citationSubset | IM | lld:pubmed |
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| pubmed-article:19405940 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:19405940 | pubmed:issn | 1471-2164 | lld:pubmed |
| pubmed-article:19405940 | pubmed:author | pubmed-author:NapJan-PeterJ... | lld:pubmed |
| pubmed-article:19405940 | pubmed:author | pubmed-author:van... | lld:pubmed |
| pubmed-article:19405940 | pubmed:author | pubmed-author:van der... | lld:pubmed |
| pubmed-article:19405940 | pubmed:author | pubmed-author:FiersMark W... | lld:pubmed |
| pubmed-article:19405940 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:19405940 | pubmed:volume | 10 | lld:pubmed |
| pubmed-article:19405940 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:19405940 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:19405940 | pubmed:pagination | 204 | lld:pubmed |
| pubmed-article:19405940 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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| pubmed-article:19405940 | pubmed:year | 2009 | lld:pubmed |
| pubmed-article:19405940 | pubmed:articleTitle | In silico miRNA prediction in metazoan genomes: balancing between sensitivity and specificity. | lld:pubmed |
| pubmed-article:19405940 | pubmed:affiliation | Applied Bioinformatics, Plant Research International, Wageningen University & Research Centre, PO Box 16, 6700 AA Wageningen, The Netherlands. ate.vanderburgt@wur.nl | lld:pubmed |
| pubmed-article:19405940 | pubmed:publicationType | Journal Article | lld:pubmed |
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