Integration of ChIP-seq and machine learning reveals enhancers and a predictive regulatory sequence vocabulary in melanocytes

We take a comprehensive approach to the study of regulatory control of gene expression in melanocytes that proceeds from large-scale enhancer discovery facilitated by ChIP-seq; to rigorous validation in silico, in vitro, and in vivo; and finally to the use of machine learning to elucidate a regulato...

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Detalles Bibliográficos
Autores principales: Gorkin, David U., Lee, Dongwon, Reed, Xylena, Fletez-Brant, Christopher, Bessling, Seneca L., Loftus, Stacie K., Beer, Michael A., Pavan, William J., McCallion, Andrew S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2012
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3483558/
https://www.ncbi.nlm.nih.gov/pubmed/23019145
http://dx.doi.org/10.1101/gr.139360.112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3483558/
https://www.ncbi.nlm.nih.gov/pubmed/23019145
http://dx.doi.org/10.1101/gr.139360.112

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