Daniele Iudicone

This study compares Eulerian and Lagrangian models of phytoplankton communities in an ocean circulation model, showing that particle-based methods produce distinct biogeography and diversity patterns.

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

The paper shows that the distribution of protein folds in marine plankton communities deviates from a power law to a Type II Pareto distribution when scaling from individual genomes to communities.

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

The paper analyzes metatranscriptomes across a North Atlantic-Arctic gradient, finding differential and convergent gene expression changes in eukaryotic phytoplankton at the polar front.

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