Computational epigenetics

Due to the recent explosion of epigenome datasets, computational methods play an increasing role in all areas of epigenetic research.

Computational methods and next-generation sequencing (NGS) technologies to are being employed to study DNA methylation and histone modifications, which are essential in cancer research.

High-throughput sequencing offers valuable insights into epigenetic changes, and the growing volume of these datasets drives the continuous development of bioinformatics techniques for their effective management and analysis.

These tools enable precise modifications of epigenetic marks at specific loci, allowing researchers to assess the effects of these alterations in cellular and animal models, thus complementing insights obtained from computational analyses.

First, accurate epigenome predictions can substitute for experimental data, to some degree, which is particularly relevant for newly discovered epigenetic mechanisms and for species other than human and mouse.