miRNAFold: a web server for fast miRNA precursor prediction in genomes.
Nucleic Acids Res
; 44(W1): W181-4, 2016 07 08.
Article
em En
| MEDLINE
| ID: mdl-27242364
ABSTRACT
Computational methods are required for prediction of non-coding RNAs (ncRNAs), which are involved in many biological processes, especially at post-transcriptional level. Among these ncRNAs, miRNAs have been largely studied and biologists need efficient and fast tools for their identification. In particular, ab initio methods are usually required when predicting novel miRNAs. Here we present a web server dedicated for miRNA precursors identification at a large scale in genomes. It is based on an algorithm called miRNAFold that allows predicting miRNA hairpin structures quickly with high sensitivity. miRNAFold is implemented as a web server with an intuitive and user-friendly interface, as well as a standalone version. The web server is freely available at http//EvryRNA.ibisc.univ-evry.fr/miRNAFold.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Software
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Precursores de RNA
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Genoma
/
MicroRNAs
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Animals
/
Humans
Idioma:
En
Revista:
Nucleic Acids Res
Ano de publicação:
2016
Tipo de documento:
Article
País de afiliação:
França