Research

Ongoing projects:

Find here the links to ongoing projects:

 


 

Finished projects

Marina, FP7 EU project

The aim of MARINA is to develop and validate the Risk Management Methods for Nanomaterials.To do this, MARINA will address the four central themes for the Risk Assessment and Management of Nanomaterials: Materials, Exposure, Hazard, and Risk. In MARINA we will develop beyond state-of-the-art referential tools from each of these themes and integrate them into a Risk Management Toolbox and Strategy for both human and environmental health.In our work package we develop algorithms and pipelines to analyse protein, gene and metabolite expression.

Blue Ion, BMWi project

The project is about developing software for ion mobility spectrometers.

Predict IV,Developing analysis pipelines for omics data (EU)

The overall aim of Predict-IV is to develop strategies to improve the assessment of drug safety in the early stage of development and late discovery phase, by an intelligent combination of non animal-based test systems, cell biology, mechanistic toxicology and in-silico modelling, in a rapid and cost effective manner. A better prediction of the safety of an investigational compound in early development will be delivered, by applying advances in predictive toxicology (toxicogenomics and metabolomics, prediction of pharmacokinetics and high content imaging) and modelling.

Genome Comparison, Algorithm Engineering for Efficient Genome Comparison ( DFG SPP 1307)

There were two main research goals in the proposed project: (1) To design, analyze, implement and experimentally validate efficient and versatile genome comparison algorithms based upon suitable computation models and (2) to integrate all required algorithmic components in the SeqAn library for biological sequence analysis for the purpose of disseminating the core algorithms and data structures to the bioinformatics and algorithm engineering community.

Data Parallelism Algorithm Engineering for High Throughput Sequencing Data (DFG)

This proposal aimed to respond to the described increase of genomic sequence data with algorithmic approaches that benefit from redundancies across multiple datasets.

Genome Comparison, Algorithm Engineering for Efficient Genome Comparison ( DFG SPP 1307)

We plan to further pursue the two main research goals from the originally proposed project: (1) To design, analyze, implement and experimentally validate efficient and versatile genome comparison algorithms based upon suitable computation models and (2) to integrate all required algorithmic compo- nents in the SeqAn library for biological sequence analysis for the purpose of disseminating the core algorithms and data structures to the bioinformatics and algorithm engineering community.

Clinical degradomics (BMBF)

Characterisation of disease relevant peptidases.

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