A probabilistic approach to learn chromatin architecture and accurate inference of the NF-κB/RelA regulatory network using ChIP-Seq

Using nuclear factor-κB (NF-κB) ChIP-Seq data, we present a framework for iterative learning of regulatory networks. For every possible transcription factor-binding site (TFBS)-putatively regulated gene pair, the relative distance and orientation are calculated to learn which TFBSs are most likely t...

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Detalles Bibliográficos
Autores principales: Yang, Jun, Mitra, Abhishek, Dojer, Norbert, Fu, Shuhua, Rowicka, Maga, Brasier, Allan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Gene Regulation, Chromatin and Epigenetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3753626/
https://www.ncbi.nlm.nih.gov/pubmed/23771139
http://dx.doi.org/10.1093/nar/gkt493

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3753626/
https://www.ncbi.nlm.nih.gov/pubmed/23771139
http://dx.doi.org/10.1093/nar/gkt493

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