F. A. Bastiaan von Meijenfeldt

This paper organizes a community challenge to develop automated virus taxonomy classification tools and evaluates their performance on a combined dataset of expert-curated and metagenomic sequences.

The paper identifies potential microbial producers of branched GDGTs in anoxic marine environments using lipid analysis and metagenomic data.

The paper identifies heterocyte glycolipid analogs in non-heterocytous cyanobacteria, suggesting their evolutionary role in enabling nitrogen fixation in heterocytes.

The paper identifies in-situ produced bacterial sphingolipids as a significant component of the sedimentary lipidome in the Black Sea, accounting for ~20% of total lipids.

RAT improves metagenomic read annotation and taxonomic profiling by integrating MAGs and contigs, achieving high precision and sensitivity in diverse samples.

The paper uses metalipidomics and metagenomics to identify structurally diverse sphingolipids produced by marine bacteria in the Black Sea, revealing novel lipid species and expanded bacterial synthesis capabilities.

The paper quantifies microbial niche breadth using environmental sequencing data, revealing generalist and specialist strategies across the tree of life.

The paper introduces tools for taxonomic classification of metagenomic sequences and MAGs, showing improved accuracy in handling unknown organisms.