Computational and Single-Cell Epigenomics

Dr. Michael Scherer

Dr. Michael Scherer

Team Leader Computational and Single-Cell Epigenomics

We work on computational solutions for investigating alterations in the epigenomic pattern related to cancer, with a special focus on changes to the DNA methylation pattern. Additionally, we leverage single-cell DNA methylation technologies to investigate methylation changes in rare cell populations.

Illustration depicting cellular structures and epigenomic patterns. On the left, there are clusters of cells represented with colored circles. Below, lines in blue and purple symbolize molecular data. Logos for RnBeads and additional visual content are present at the bottom, indicating data analysis tools.

People

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    Dr. Michael Scherer

    Team Leader Computational and Single-Cell Epigenomics

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    Dr. Belen Otero Carrasco

    Postdoctoral Researcher

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    Sergio Manzano Sanchez

    Technician

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    Oliver Mücke

    Technician

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    Maxime de Vrieze

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    Marielouise Griebl

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    Paul Christmann

Running Projects

Open Projects

We are continuously looking for new people to join our team. At the moment, we have the following open positions:

Bachelor/Master thesis projects in Computational and Single-Cell Epigenomics

We offer a variety of projects ranging from computational tool development, over data analysis, until projects involving wet-lab work. At the moment, we offer the following projects:

  • Data analysis tasks around various cancer types using of the RnBeads (rnbeads.org/) toolsuite
  • Development of software tools, including projection methods, for the analysis of scTAM-seq data
  • Predicting chromothripsis from DNA methylation data
  • Exploring the impact of fusion genes in lung cancer development

Being embedded in the Division of Cancer Epigenomics, we offer a welcoming work atmosphere with a mix of computational and experimental students.


What we are looking for: We are looking for students that are pursuing their Bachelor's and Master's degree and that want to do their Bachelor/Master thesis or lab rotation in Computational Epigenomics. Previous experience with programming in R and with epigenomics are advantages.

Selected Publications

2025 - Nature

Scherer M*, Singh I*, Braun M*, Szu-Tu C*, et al. 

2022 - Genome Biology

Bianchi, A.*, Scherer, M.*, Zaurin, R., Quililan, K., Velten, L., & Beekman, R. 

2020 - Nucleic Acids Research

Scherer, M., Nebel, A., Franke, A., Walter, J., Lengauer, T., Bock, C., Müller, F., & List, M. 

2020 - Nature Protocols

Scherer, M.,* Nazarov, P. V., Toth, R., Sahay, S., Kaoma, T., Maurer, V., Vedeneev, N., Plass, C., Lengauer, T., Walter, J., & Lutsik, P. 

2019 - Genome Biology

Müller, F.*, Scherer, M.*, Assenov, Y., Lutsik, P., Walter, J., Lengauer, T., & Bock, C

Additional Publications

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ORCID

Funding

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Dr. Michael Scherer

Team Leader Computational and Single-Cell Epigenomics
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