Promoter prediction in E. coli based on SIDD profiles and Artificial Neural Networks

BACKGROUND: One of the major challenges in biology is the correct identification of promoter regions. Computational methods based on motif searching have been the traditional approach taken. Recent studies have shown that DNA structural properties, such as curvature, stacking energy, and stress-indu...

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Detalles Bibliográficos
Autores principales: Bland, Charles, Newsome, Abigail S, Markovets, Aleksandra A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026364/
https://www.ncbi.nlm.nih.gov/pubmed/20946600
http://dx.doi.org/10.1186/1471-2105-11-S6-S17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026364/
https://www.ncbi.nlm.nih.gov/pubmed/20946600
http://dx.doi.org/10.1186/1471-2105-11-S6-S17

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