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Updated: Jul 29, 2025
06:38
Pattern-based Search of Epigenomic Data Using GeNemo
Published on: October 8, 2017
5.1K
Applications of bioinformatics in epigenetics
Ragini1, Sakshi1, Indra Mani2
1Department of Biotechnology, Regional Centre for Biotechnology, Faridabad, Haryana, India.
Summary
Epigenetic modifications drive inheritance and disease. Bioinformatics tools and databases aid in analyzing epigenomic data for drug discovery against conditions like cancer and diabetic kidney disease.
Area of Science:
- Genomics
- Bioinformatics
- Epigenetics
Background:
- Epigenetic modifications, including DNA methylation and non-coding RNAs, are crucial for inheritance.
- Alterations in gene expression from these modifications contribute to diseases such as cancer and diabetic kidney disease (DKD).
Purpose of the Study:
- To provide an overview of bioinformatics tools and databases for epigenomic profiling.
- To highlight the role of epigenetics in disease and drug development.
Main Methods:
- Utilizing bioinformatics approaches for epigenomic data analysis.
- Leveraging various sequencing and analytical techniques for epigenetic data extrapolation.
Main Results:
- Identification of numerous epigenetics databases (e.g., MethDB, REBASE) and tools (e.g., compEpiTools, CpGProD).
- Demonstration of how epigenomic data analysis can inform drug design for epigenetic-related diseases.
Conclusions:
- Bioinformatics is essential for understanding epigenetic modifications and their role in disease.
- Available databases and tools facilitate the retrieval and mechanistic analysis of epigenetics data, paving the way for targeted therapies.
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