Understanding regulatory genomics in diseases.

Welcome to the Biomedical Genomics Group @ IPMB !

We are part of the Institute for Pharmacy and Molecular Biotechnology and BioQuant Center . We are working on understanding gene (de)regulation in disease, in particular cancer, mental disorders and infection.

We develop novel methods to integrate large scale genomics datasets, using statistical and machine-learning approaches. We focus in particular on epigenomics data and single-cell approaches.

We are always interested in hosting bachelor/master/rotation students! Do not hesitate to contact us if you are interested in topics such as

  • computational gene regulation
  • epigenetics
  • single-cell data
  • machine-learning


2. April 2024

Youcheng's paper on networks of comorbidity signatures has been published in Discover Mental Health! This is part of the COMMITMENT project on comorbidities in schizophrenia. Congratulations Youcheng!

12. November 2023

We are offering a new course on Deep Learning Applications in Life Sciences with our european partners starting 26.02.2024. Check the Teaching pages for more details.

7. November 2023

David Hirst is our guest as a visiting PhD student from Marseille on a DAAD grant. Nice to welcome you, David!

25. July 2023

Welcome Saifullah Tumrani, a new postdoc working on an AI Health funded project on catatonia with ZI Mannheim!

23. June 2023

Today, our team member Ana successfully defended her PhD on Computational approaches to the study of chromatin in disease! Congratulations Ana and all the best for your future journey!

17. June 2023

Our paper on Biologically informed Variational Autoencoders was published in Bioinformatics! Congratulations to Daria for her great work!

17. February 2023

Our paper on the chromatin landscape of HIV-1 integration is out in Cell Reports. Congratulations Ana for the fantastic work and to the Lusic Lab for this great collaboration!

30. November 2022

Youcheng Zhang and Daria Doncevic presented our work within the COMMITMENT project at the e:Med conference on Systems Medecine.

23. September 2022

Our latest preprint on OntoVAE, an interpretable, ontology inspired autoencoder is available here!

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