Sascha Patz

This study investigates how H2 and O2 levels in open-culture reactors affect n-caproate and n-caprylate production and microbiota composition.

This paper uses interpretable machine learning to predict drought stress in soil metagenomes with high accuracy by identifying marker taxa.

The paper extends the PGPT ontology to analyze metagenomic datasets, introducing mgPGPT-db and integrating it into MEGAN for PGPT-related gene identification.

PLaBAse annotates bacterial genomes against a curated ontology of ∼6,900 plant growth-promoting traits; applied to 70,540 genomes, plant symbionts and rhizobacteria had the largest genomes and most traits.

The paper introduces an anti-consensus network to highlight significant discrepancies in gene trees, demonstrating its use with Kosakonia species and strains.