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

This is the supporting webpage for Yang J, Mitra A, Dojer N, Fu S, Rowicka M, Brasier A. Nucleic Acids Research (2013)

    We present a detailed map of RelA promoters obtained by XChip-Seq, the motifs and co-occurences thereof. We then describe a probabilistic approach to infer the RelA regulatory network and show the newtork derived using our method.
  • Link to Supplementary Data
  • Visually inspect XChiP-Seq, RelA peaks in UCSC Genome Browser.
  • Read the paper (Oxford Journals in Nucleic Acids Research)
  • View the data in an interactive data viewer and compute significance of correlation with your data (coming soon).
      • The work has been done in Brasier Lab and the Rowicka Lab (UTMB, USA).

    Rowicka Lab Brasier Lab UTMB
    Contact: Abhishek Mitra, abmitra@utmb.edu