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Automatic learning of pre-miRNAs from different species
BACKGROUND: Discovery of microRNAs (miRNAs) relies on predictive models for characteristic features from miRNA precursors (pre-miRNAs). The short length of miRNA genes and the lack of pronounced sequence features complicate this task. To accommodate the peculiarities of plant and animal miRNAs syste...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4884428/ https://ncbi.nlm.nih.gov/pubmed/27233515 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1036-3 |
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