Eric Karsenti

This study analyzes diatom diversity and abundance in the global ocean using Tara Oceans data, identifying key environmental drivers and community patterns.

The paper develops a genome-scale metabolic model for ocean microbial communities to infer metabolic processes and viral impacts on biogeochemical cycles.

The paper quantifies plankton community structure globally, revealing inverted biomass pyramids dominated by gelatinous organisms and predicting future shifts in oceanic carbon cycles.

The paper integrates a genome-scale model into an Earth System Model to study how environmental gradients affect metabolic processes in marine cyanobacteria.

The paper presents open science resources for accessing and analyzing Tara Oceans data, including data sets and tools for environmental and biological data.