Algorithmic Bioinformatics and Efficient Algorithms for Omics Data
Prof. Dr. Knut Reinert
The Reinert lab consists of two research groups: The Algorithmic Bioinformatics group at the Freie Universität Berlin (FUB) and the Efficient Algorithms for Omics Data group at the Max Planck Institute for Molecular Genetics (MPIMG).
The long-term goal of the Reinert lab is to bridge the existing gap between advanced results in algorithmic research and their practical application as bioinformatics tools for real world data. The group is achieving this by working on solving well-posed computational problems arising in the context of biomedical –omics data analysis, mostly for next generation sequencing (NGS) data as well as proteomics data produced by HPLC/MS methods.
The aim of our groups at FUB and MPI is not solely to develop algorithms and tools for those applications, but rather to dissect them into well-defined algorithmic components. We then generalize those components as much as possible and implement them efficiently and robustly in software libraries. The two most mature projects in the Reinert lab are SeqAn and OpenMS. The OpenMS project was initiated jointly with the University of Tübingen and the ETH Zurich and resides now mostly in Tübingen.
We are constantly looking for good PhD students, currently focussing on alignment free genome analysis.
For more detailed information visit the website of the Reinert Lab.