Lorenz Christian Reimer

Research interest

• Database and Web Development
• Bacterial Diversity
• Metabolic data
• FAIR research data
• Semantic data

Curriculum Vitae

Highlighted research

	BacDive in 2025: the core database for prokaryotic strain data Schober I., Koblitz J., Sardà Carbasse J., Ebeling C., Schmidt M.L., Podstawka A., Gupta R., Ilangovan V., Chamanara J., Overmann J. and Reimer L.C. Nucleic Acids Res 53(D1): D748–D756 (2025)
	The Past, the Presence and the Future of Microbial Strain Data Reimer L.C., Schober I., Lissin A., Sardà Carbasse J., Witte J.F., Koblitz J., Yurkov A., Freese H.M., Göker M. and Overmann J. IMC12, Maastricht, The Netherlands. 13.08.2024, Invited lecture: short
	Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets [Preprint] Koblitz J., Reimer L.C., Pukall R. and Overmann J. BioRxiv (2024)
	Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets Koblitz J., Reimer L.C., Pukall R. and Overmann J. Commun Biol 8(1): 897 (2025)