Cargando…
miRTar2GO: a novel rule-based model learning method for cell line specific microRNA target prediction that integrates Ago2 CLIP-Seq and validated microRNA–target interaction data
MicroRNAs (miRNAs) are ∼19–22 nucleotides (nt) long regulatory RNAs that regulate gene expression by recognizing and binding to complementary sequences on mRNAs. The key step in revealing the function of a miRNA, is the identification of miRNA target genes. Recent biochemical advances including PAR-...
Autores principales: | Ahadi, Alireza, Sablok, Gaurav, Hutvagner, Gyorgy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389546/ https://www.ncbi.nlm.nih.gov/pubmed/27903911 http://dx.doi.org/10.1093/nar/gkw1185 |
Ejemplares similares
-
miRTar: an integrated system for identifying miRNA-target interactions in human
por: Hsu, Justin Bo-Kai, et al.
Publicado: (2011) -
CSmiRTar: Condition-Specific microRNA targets database
por: Wu, Wei-Sheng, et al.
Publicado: (2017) -
PARma: identification of microRNA target sites in AGO-PAR-CLIP data
por: Erhard, Florian, et al.
Publicado: (2013) -
The Landscape of microRNA Targeting in Prostate Cancer Defined by AGO-PAR-CLIP()
por: Hamilton, Mark P., et al.
Publicado: (2016) -
miRTarBase: a database curates experimentally validated microRNA–target interactions
por: Hsu, Sheng-Da, et al.
Publicado: (2011)