Recent Posts

We are looking for skilled PhD students and Postdocs to contribute in building a central IT platform for gut microbiome research. On the medical informatics side, we seek expertise to build up a medical data integration platform that enables harmonization and analysis of sensitive data while adhering to data protection requirements. On the bioinformatics side, we seek expertise to build and integrate pipelines for systematic analysis of heterogeneous experimental data ranging from 16S ribosomal RNA to complex metabolome profiles. Moreover, we seek expertise for developing and integrating state-of-the-art statistical and network analysis methods into the platform. These methods will facilitate knowledge extraction, biomarker discovery and hypothesis generation for the CRC.


Full time position for a PostDoc in a project to use state-of-the-art machine learning techniques for multitask and transfer learning to construct robust cell-type-specific molecular interaction networks.


Recent & Upcoming Talks

Big Data als Wegbereiter der Präzisionsmedizin
08. Mar 2019 14:30
Genome-wide endogenous RNA networks highlight novel biomarkers in cancer
29. Jan 2019 17:00
Analysing large-scale epigenomic data with DeepBlue
06. Dec 2018 14:30
Genome-wide endogenous RNA networks highlight novel biomarkers in cancer
28. Sep 2018 15:00

Selected Publications

Here we used single-cell RNA-seq data of ~11,000 cells from the tumor microenvironment to simulate bulk samples of known cell type proportions to measure the accuracy of computational methods for cell-type deconvolution and quantification.
bioRxiv preprint, 2018

We present a novel method for assessing the performance of batch effect adjustment methods on heterogeneous data. Our method borrows information from the Cell Ontology to establish if batch adjustment leads to a better agreement between observed pairwise similarity and similarity of cell types inferred from the ontology.
Bioinformatics (ECCB 2018 conference proceedings), 2018

Recent Publications

More Publications

. Comprehensive evaluation of cell-type quantification methods for immuno-oncology. bioRxiv preprint, 2018.

PDF Code

. An ontology-based method for assessing batch effect adjustmentapproaches in heterogeneous datasets. Bioinformatics (ECCB 2018 conference proceedings), 2018.


. MiRNA-181d Expression Significantly Affects Treatment Responsesto Carmustine Wafer Implantation. Neurosurgery, 2018.


. JAMI - Fast computation of Conditional Mutual Information forceRNA network analysis. Bioinformatics, 2018.


. The long non-coding RNA H19 suppresses carcinogenesis and chemoresistance in hepatocellular carcinoma. Cell Stress, 2017.


. De novo pathway-based biomarker identification. Nucleic Acids Res., 2017.


. Interactive microbial distribution analysis using BioAtlas. Nucleic Acids Res., 2017.


. Systematic screening of isogenic cancer cells identifies DUSP6 as context-specific synthetic lethal target in melanoma. Oncotarget, 2017.


. DeepBlueR: large-scale epigenomic analysis in R. Bioinformatics, 2017.



We develop tools that use large-scale paired miRNA and gene expression data to infer microRNA regulation networks driven by the competing endogenous RNA effect. SPONGE is based on partial correlations while JAMI is based on conditional mutual information.

We develop tools that leverage information from molecular interaction networks in understanding molecular profiling data. De novo network enrichment tools operate by using heuristics to extract subnetworks that are relevant for a phenotype of interest, e.g. a disease.


The EU H2020 project FeatureCloud aims at developing methods for privacy-preserving, federated machine learning.

We developed a series of web applications that operate as an integrated high-throughput screening platform. The platform covers the entire research chain from sample management, HTS logistics, data processing and normalization, hit (drug target) discovery and systems-biology-driven evaluation.

The DeepBlue web application server and its accompanying bioconductor R package facilitate user-friendly programmatic access to publicly available big epigenomic data sets.

The EU H2020 project REPO-TRIAL aims at developing an in silico approach to optimise the efficacy and precision of drug repurposing trials. To this end we integrated heterogeneous data into a comprehensive interactome of disease-drug-gene interactions (a new diseasome).


SS 2018

  • Einführung in die Bioinformatik II / Introduction to Bioinformatics II

WS 20182019

  • Einführung in die Bioinformatik I
  • Journal Club Bioinformatics