A predictive model for secondary RNA structure using graph theory and a neural network

BACKGROUND: Determining the secondary structure of RNA from the primary structure is a challenging computational problem. A number of algorithms have been developed to predict the secondary structure from the primary structure. It is agreed that there is still room for improvement in each of these a...

Descripción completa

Detalles Bibliográficos
Autores principales: Koessler, Denise R, Knisley, Debra J, Knisley, Jeff, Haynes, Teresa
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026369/
https://www.ncbi.nlm.nih.gov/pubmed/20946605
http://dx.doi.org/10.1186/1471-2105-11-S6-S21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026369/
https://www.ncbi.nlm.nih.gov/pubmed/20946605
http://dx.doi.org/10.1186/1471-2105-11-S6-S21

Ejemplares similares