Abstract
Epigenetic regulation plays a critical role in controlling gene expression and cellular function. It involves modifications to the DNA and histone proteins that affect chromatin structure without altering the underlying genetic code. Computational approaches are essential for understanding the complex mechanisms of epigenetic regulation, particularly in the context of human development, disease, and aging. This article reviews various computational techniques used to study epigenetic modifications, including next-generation sequencing (NGS)-based approaches, machine learning, and integrative multi-omics analysis. It also explores how these methods are advancing our understanding of epigenetic regulation in health and disease, highlighting the potential for therapeutic interventions and personalized medicine.
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