Prof. Dr. Robert Heyer

Prof. Dr.-Ing. Robert Heyer heads the junior research group Multidimensional Omics Data Analysis (MdOA) at ISAS. As a cooperation with Bielefeld University based on the Jülich model, Heyer holds a professorship in bioinformatics there. After his PhD on the development of a laboratory and bioinformatic workflow for investigating microbiomes in anaerobic digestion plants, the bioinformatics expert worked as a postdoc in the Databases and Software Engineering group of Gunter Saake at Otto von Guericke University Magdeburg. Heyer’s research focus is on software development for the analysis, storage and visualisation of omics data and microbiomes characterisation. In particular, he is passionate about improving the understanding of biological and clinical processes by linking high-resolution omics data with modeling.

“You create paths by taking them.“ (according to Franz Kafka)

Select publications

Water Research, Vol. 250, 2023, P. 121020

Heyer R, Hellwig P, Maus I, Walke D, Schlüter A, Hassa J, Sczyrba A, Tubbesing T, Klocke M, Mächtig T, Schallert K, Seick I, Reichl U, Benndorf D.

Breakdown of hardly degradable carbohydrates (lignocellulose) in a two-stage anaerobic digestion plant is favored in the main fermenter

https://doi.org/10.1016/j.watres.2023.121020

Microorganisms, Vol. 11, No. 10, 2023

Hassa J, Tubbesing T, Maus I, Heyer R, Benndorf D, Effenberger M, Henke C, Osterholz B, Beckstette M, Pühler A, Sczyrba A, Schlüter A.

Uncovering Microbiome Adaptations in a Full-Scale Biogas Plant: Insights from MAG-Centric Metagenomics and Metaproteomics

https://doi.org/10.3390/microorganisms11102412

Database, Vol. 2024, No. 2024, 2023, P. baad045

Walke D, Micheel D, Schallert K, Muth T, Broneske D, Saake G, Heyer R.

The importance of graph databases and graph learning for clinical applications

https://doi.org/10.1093/database/baad045

Expert Review of Proteomics, Vol. 20, No. 4-6, 2023, P. 71-86

Wolf M, Schallert K, Knipper L, Sickmann A, Sczyrba A, Benndorf D, Heyer R.

Advances in the clinical use of metaproteomics

https://doi.org/10.1080/14789450.2023.2215440