GraphProt: modeling binding preferences of RNA-binding proteins

We present GraphProt, a computational framework for learning sequence- and structure-binding preferences of RNA-binding proteins (RBPs) from high-throughput experimental data. We benchmark GraphProt, demonstrating that the modeled binding preferences conform to the literature, and showcase the biolo...

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Detalles Bibliográficos
Autores principales: Maticzka, Daniel, Lange, Sita J, Costa, Fabrizio, Backofen, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053806/
https://www.ncbi.nlm.nih.gov/pubmed/24451197
http://dx.doi.org/10.1186/gb-2014-15-1-r17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053806/
https://www.ncbi.nlm.nih.gov/pubmed/24451197
http://dx.doi.org/10.1186/gb-2014-15-1-r17

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