Algorithmic Proteomics

Algorithmic Proteomics


The working group (WG) ‚Algorithmic Proteomics‘ is coordinated by Dr. Michael Kohl. Focus areas of the working group are the following topics:
- Flexible and comprehensively scalable protein inference based on peptide identifications obtained from different MS/MS analysis algorithms (‘search engines’)
- Usage of so-called decoy databases for the estimation of false discovery rates (FDR)
- Label free and label based quantification of MS data.
- Combined analysis of data obtained from different high – throughput techniques (mult-Omics data processing)
- Analysis of targeted Proteomics data sets (Selected reaction monitoring (SRM))
Furthermore, the working group is very active with regard of development of standards used for the description and storage of Proteomics data and concerning the maintenance of controlled vocabularies developed by the Proteomics Standards Initiative (PSI) of the Human Proteome Organization (HUPO). Further tasks of this research area concern development of software for data conversion.
Current research activities of the working group comprise the integration of additional data types for multi-Omics analysis (e.g. consideration of DNA methylation data sets (Epigenetics)), the development of a peptide based approach for the comparison of data obtained from Proteomics experiments and the development of mathematical models that mimic the dynamics of protein networks within a cell.

Group leader

Dr. Michael Kohl


Ruhr-Universität Bochum
Zentrum für klinische Forschung (ZKF I)
Room E.142
Universitätsstraße 150
44801 Bochum

Phone: +49 234 32 29 275
Fax: +49 234 32 14 554