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The research of our lab focuses on the intersection of the following three main topics:

  • Development of new bioinformatics & machine learning based methods for the analysis bio-(medical) data, including genetics data, health data as well as image based data
  • Application of computational tools to analyse data, primarily bio-(medical) data, e. g. to gain new biological insights about genotype-phenotype relationships
  • Development of novel cloud- and web-based applications, to simplify the process of complex computational workflows for scientists from different disciplines

General Research Overview

Software & Ressources


 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 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.


Professorship Bioinformatics

Petersgasse 18
94315 Straubing


Prof. Dr. Dominik Grimm

Phone: +49 (0) 9421 187-230
Fax: +49 (0) 9421 187-285

Team Assistent

Ingrid Meindl

Phone: +49 (0) 9421 187-271
Fax: +49 (0) 9421 187-285