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@epigenetics-sb

epigenetics-sb

Welcome

We are the Genetics and Epigenetics research group at Saarland University, bringing together interdisciplinary groups working at the interface of molecular genetics, epigenomics, and computational biology.

Our research focuses on understanding how genetic variation and epigenetic regulation shape gene expression, cell identity, development, and disease. By combining experimental genomics, epigenetics, and data-driven computational approaches, we aim to uncover fundamental biological mechanisms with relevance to human health.

Research Areas

  • Genetics and functional genomics
  • Epigenetics (DNA methylation, chromatin organization, histone modifications)
  • Gene regulation and regulatory networks
  • Neurobiology and disease-related mechanisms
  • Bioinformatics and computational epigenomics

Affiliated Chairs & Groups

This organization reflects the work of research groups at Saarland University, including:

For Students & Researchers

We welcome students, researchers, and collaborators interested in:

  • Open-source bioinformatics tools
  • Reproducible analysis pipelines
  • Epigenomic data analysis and visualization
  • Collaborative research projects

Relevant resources, code, and documentation will be shared within this organization as part of our commitment to open and transparent science.


Saarland University, Germany
Genetics · Epigenetics · Computational Biology

Popular repositories Loading

  1. Training Training Public

    Training material for workshops

    HTML

  2. .github .github Public

  3. episegmix episegmix Public

    Chromatin segmentation pipeline using Nextflow and EpiSegMix

    Nextflow

  4. MethylBench MethylBench Public

    Reproducible analysis code for MethylBench — a systematic benchmark of six DNA methylation profiling technologies (EPIC array, TWIST, WGEC, RRBS, ONT, PacBio) across diverse sequencing platforms.

    R

  5. EpiSegMixMeth-ESMM EpiSegMixMeth-ESMM Public

    Integrated flexible DNA methylation-chromatin segmentation modeling enhances epigenomic state annotation

    R

Repositories

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