L.C. Reimer

The StrainDiscoveryDatabase: an open framework for standardized microbial strain data

The paper introduces the StrainDiscoveryDatabase (SDD), a unified microbial strain dataset that resolves data fragmentation and synonymy to support AI-driven bioindustrial applications.

Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets

The paper uses machine learning on curated bacterial datasets to predict phenotypic traits, showing that high-quality data improves prediction accuracy and generates new data points for the BacDive database.

Broad diversity of human gut bacteria accessible via a traceable strain deposition system

The paper establishes a publicly available collection of 340 human gut bacterial strains, including 29 newly described species, and identifies plasmids and megaplasmids within these isolates.