Year: 2013
Type: article
Abstract: Epigenomic modification is important in establishing cell-type specific gene expression; however, the regulation of the epigenome is not well understood. To investigate the role of DNA motifs in regulating the epigenome we have established an analysis pipeline that identifies DNA motifs that are predictive of epigenomic modification. We apply our strategy to a dataset of six histone modifications in five cell-types. Comparison of the identified motifs to known motifs identified interplay between known factors and the epigenome. Motif location preference analysis revealed that motifs occur at the edge of modification peaks and suggests they may function by establishing barriers.
Source: EMBnet journal
DOI: 10.14806/ej.19.a.615
Authors: John William Whitaker, Zhao Chen, Wei Wang
Institution: University of California San Diego
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Funder: National Institutes of Health
OpenAlex ID: W2027645762
