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Updated: May 8, 2026

Promoter Capture Hi-C: High-resolution, Genome-wide Profiling of Promoter Interactions
Published on: June 28, 2018
Power graph compression reveals dominant relationships in genetic transcription networks
1Theory of Condensed Matter Group, Cavendish Laboratory, JJ Thomson Avenue, CB3 0HE Cambridge, UK. sea31@cam.ac.uk.
Abstract:
We introduce a framework for the discovery of dominant relationship patterns in transcription networks, by compressing the network into a power graph with overlapping power nodes. Our application of this approach to the transcription networks of S. cerevisiae and E. coli, paired with GO term enrichment analysis, provides a highly informative overview of the most prominent relationships in the gene regulatory networks of these two organisms.
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