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Updated: May 24, 2026

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Pattern-based Search of Epigenomic Data Using GeNemo
Published on: October 8, 2017
The epigenome and top-down causation.
1The Beyond Center for Fundamental Concepts in Science , Arizona State University , Tempe, AZ , USA.
Interface Focus
|March 16, 2012
Summary
Epigenetic factors influence gene expression, acting as a dynamic, self-organizing system rather than a stored program. This research proposes linking epigenetic information to chromatin dynamics for deeper understanding.
Area of Science:
- Genetics
- Systems Biology
- Epigenetics
Background:
- Gene expression is influenced by epigenetic factors beyond DNA sequence.
- Epigenetic changes are reversible and heritable, forming a global, systemic entity.
- Unlike the genome, the epigenome lacks a stored 'program' in the information-theoretic sense.
Purpose of the Study:
- To explore the self-organizing nature of epigenomic control.
- To investigate the interplay of genetic and epigenetic causation.
- To propose a framework for attributing causal efficacy to biological information.
Main Methods:
- Analysis of complex systems theory concepts (feedback loops, emergent phenomena).
- Examination of chromatin structure, organization, and dynamics.
- Proposal for implementing downward causation via chromatin dynamics.
Main Results:
- Epigenomic control is largely an emergent, self-organizing phenomenon.
- Epigenetics demonstrates the intermingling of bottom-up genetic and top-down epigenetic causation.
- A novel approach is proposed to couple information directly to chromatin dynamics.
Conclusions:
- Epigenomic regulation is a complex, emergent process, not a pre-defined program.
- Attributing causal efficacy to biological information can be achieved by integrating it with chromatin dynamics.
- This integration opens new avenues in dynamical systems theory for studying self-organization and complexity.
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