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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Detalhes bibliográficos
Main Authors: Yang, Jun, Mitra, Abhishek, Dojer, Norbert, Fu, Shuhua, Rowicka, Maga, Brasier, Allan R.
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2013
Assuntos:
Gene Regulation, Chromatin and Epigenetics
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3753626/
https://ncbi.nlm.nih.gov/pubmed/23771139
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkt493
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