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Research

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

Funded Projects

We are doing research in several funded projects. For more information please have a view at our Funded Projects site.

If you are interested in more details and discussions about our projects, do not hesitate to contact us.
Furthermore, we are always happy to receive applications from motivated candidates for a research internship or a thesis. You can find some opportunities here.

Software & Ressources

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.

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 Assistent

Ingrid Meindl

Phone: +49 (0) 9421 187-271
Fax: +49 (0) 9421 187-285
E-Mail: ingrid.meindl@hswt.de