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Grimm Lab Sub-Menu

Bioinformatics

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

 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.

AraPheno

AraPheno is a central and public repository of high-quality Arabidopsis thaliana phenotypes.

Software & Methods

Software and Methods developed by the group can be found and downloaded at our Github repository.

Lab News

New Paper and Conference Talk about EVARS-GPR

New Paper and Conference Talk about EVARS-GPR

We published a novel machine learning algorithm EVARS-GPR an EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data. Florian presented the method at the German AI Conference. The talk can be found on youtube: https://youtu.be/jZ6hZNMa-TE

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New DFG Funding

New DFG Funding

We successfully attracted funding from the German Research Foundation (DFG) for the project “Reinforcement Learning for Automated Flowsheet Synthesis of Steady-State Processes”

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Kontakt

Professorship Bioinformatics

Petersgasse 18
94315 Straubing

Head

Prof. Dr. Dominik Grimm

Phone: +49 (0) 9421 187-230
Fax: +49 (0) 9421 187-285
E-Mail: dominik.grimm@hswt.de

Team Assistant

Anna Fischer

Phone: +49 (0) 9421 187-231
Fax: +49 (0) 9421 187-285
E-Mail: anna.fischer@hswt.de

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