Till L. V. Bornemann

itBins refines metagenomic bins and estimates binning success using %GC content, coverage, and taxonomy, outperforming existing tools in speed and accuracy.

The paper identifies novel extended tetraether lipids in a high-CO2 geyser, suggesting their role in membrane adaptation to extreme conditions.

The paper proposes a roadmap for fair reuse of public microbiome data by introducing a Data Reuse Information tag (DRI) to facilitate communication between data creators and consumers.

This study shows that uranium mining alters deep groundwater microbiomes, causing genetic and functional changes through increased radiation and uranium exposure.

This study shows river sediment microbiomes are highly sensitive to reduced flow velocity, leading to altered community compositions and stress responses that recover after two weeks.

The paper analyzes hyporheic zone microbiomes across North America to show conserved stress responses and distinct metabolic activity in sediments versus surface water.

This paper uses long-read sequencing to infer replication states of bacteria and viruses in enrichment cultures by detecting non-canonical base incorporation.

The paper investigates Gracilibacteria activity in a high-CO2 aquifer using metaproteogenomics, suggesting they may function as microbial predators.

The paper identifies a novel Thaumarchaeota genus in the Atacama Desert hyperarid core, revealing its role in carbon and nitrogen cycling through genomic analysis.

uBin is a manual bin refinement tool for metagenomics designed for education, improving bin quality by reducing contamination in public datasets.