Models incorporating chromatin modification data identify functionally important p53 binding sites

Genome-wide prediction of transcription factor binding sites is notoriously difficult. We have developed and applied a logistic regression approach for prediction of binding sites for the p53 transcription factor that incorporates sequence information and chromatin modification data. We tested this...

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Detalles Bibliográficos
Autores principales: Lim, Ji-Hyun, Iggo, Richard D., Barker, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675478/
https://www.ncbi.nlm.nih.gov/pubmed/23599002
http://dx.doi.org/10.1093/nar/gkt260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675478/
https://www.ncbi.nlm.nih.gov/pubmed/23599002
http://dx.doi.org/10.1093/nar/gkt260

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