High Resolution Models of Transcription Factor-DNA Affinities Improve In Vitro and In Vivo Binding Predictions

Accurately modeling the DNA sequence preferences of transcription factors (TFs), and using these models to predict in vivo genomic binding sites for TFs, are key pieces in deciphering the regulatory code. These efforts have been frustrated by the limited availability and accuracy of TF binding site...

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Detalles Bibliográficos
Autores principales: Agius, Phaedra, Arvey, Aaron, Chang, William, Noble, William Stafford, Leslie, Christina
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936517/
https://www.ncbi.nlm.nih.gov/pubmed/20838582
http://dx.doi.org/10.1371/journal.pcbi.1000916

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936517/
https://www.ncbi.nlm.nih.gov/pubmed/20838582
http://dx.doi.org/10.1371/journal.pcbi.1000916

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