The bioinformatics lab at the Technical University of Munich, TUM Campus Straubing for Biotechnology and Sustainability is led by Prof. Dr. Dominik Grimm from the University of Applied Sciences Weihenstephan-Triesdorf.
Bioinformatics is a young interdisciplinary research area that develops computational and statistical tools to analyze, store, integrate and visualize biological and biomedical data. One of the main research areas of our group is the development and usage of novel computational tools and machine learning methods to gain a deeper understanding of the underlying genetic architecture of complex biological processes and phenotypes. In addition, we are interested in developing efficient pipelines and applications to process and analyze Next Generation Sequencing (NGS) data. Further, we develop modern cloud-based applications and databases to simplify the analysis, storage, retrieval and visualization of diverse and complex biological and biomedical data.
Software & Resources
easyGWAS is a novel web- and cloud platform for performing, analysing and comparing genome-wide association studies (GWAS).
The AraGWAS Catalog
The AraGWAS Catalog is a public and manually curated database for standardised GWAS results for Arabidopsis thaliana.
We are seeking highly motivated candidates for a scientific research position as Postdoctoral Researcher, to further advance the recently launched Synthetic Biology Foundry at TUM Campus Straubing (SynBiofoundry@TUM).read more
Maura will work on novel bioinformatics and machine learning techniques to gain a better understanding of genotype-phenotype relationships.read more
We are happy to share an interview Richa gave for the portal “Research in Germany”. In this interview Richa gave insights about her research in Germany, and what she likes about living here.read more