I. M. Deutschmann

This paper introduces EnDED, a method to identify environmentally-driven associations in microbial networks, showing that combining methods reduces false positives in simulated and real marine microbial data.

The paper investigates temporal dynamics of microbial associations in a Mediterranean Sea time series using a temporal network approach, finding annual cycles and seasonal variability in microbial interactions.

This study examines how microbial associations change across different ocean depths and regions, finding that most surface associations disappear with depth and that associations are highly variable across space.

The paper identifies a dynamic core marine microbiota in a Mediterranean coastal observatory over 10 years, showing seasonal variations and interactions among core taxa.

This study examines four related marine picoeukaryotic predators, showing they have distinct genomic features and ecological adaptations that influence their coexistence and distribution.