Evotec SE (Göttingen)
Analysis of Metatranscriptomes obtained from the soils of mono and mixture cultured forests
Collaboration with biological and bioinformatics partner in a project on "The plant-pathogenic fungus Verticillium longisporum and the interaction with its host Brassica napus" (funded by the Federal Ministry of Education and Research, Grant 0315595A)
Developed a database and software for large scale data integration. Additionally, developed several software tools for diverse tasks.
Development of software and Linux server administration
Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (Funded in the Excellence Initiative by the German Federal and State Government)
Title: Reconstruction of metabolic pathways from heterogeneous data (summa cum laude)
Development of methods for the prediction of metabolic functions in de novo sequenced organisms from several biological high-throughput data sets.
Applied Computer Science (Bioinformatics): Graph-based analysis of mass-spectrometry data (Overall grade: 1,8)
Investigation on the analysis of non-targeted metabolic massspectrometry data in terms of metabolic pathways using graph algorithms. The developed Java Software MarVis-Graph processes data from metabolic and transcriptomic experiments and relates them using biochemical reactions in the organism's metabolic network. Afterwards, graph algorithms are utilized to infer and extract enriched sub-networks.
Applied Computer Science (Bioinformatics): Database development for the storage of metabolite-based experiments (Overall Grade: 2.4 - good)
Development of a database schema to store large-scale non-targeted massspectrometry measurements (PostgreSQL). Additionally, construction of a framework for the integration of remote biomolecular databases for annotation of the measured experimental features in terms of known chemical molecules (Perl).