The Biomedical Genomics Group @ Health Data Science Unit at the BioQuant Center and Medical Faculty Heidelberg is working on understanding gene (de)regulation in disease. 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 contributing to the OpenLab Epigenomics initiative to provide support and expertise to groups generating large scale epigenomics datasets like ChIP-seq, ATAC-seq and chromatin interaction data.
We are contributing to the SARS-CoV-2 research effort and developped MapMyCorona, an interactive website to display blast results of viral sequences to available SARS-CoV-2 sequences in a geographical and temporal fashion
We are looking for a scientific associate for a one-year project to implement a benchmarking platform in a cloud environment to test cellular deconvolution methods for RNA-seq/DNA methylation data. Find the job description here
We are happy to welcome motivated students for lab rotation, bachelor and master thesis.
Find all of our publications at Google Scholar
The Epigenomics OpenLab is a joined effort of the DKFZ and Medical Faculty to support groups in the processing of their epigenomics datasets. We offer assistance and expertise, as well as access to our processing pipelines, and are happy to host external members to guide them through the analysis.
Please contact us if you are looking for assistance.
Members of the lab are involved in teaching in the Molecular Biotechnology Bachelor and Master Program at the university Heidelberg.