Guillem Salazar

This study assesses the microbial biosynthetic potential of reef-building corals using genome-resolved metagenomics, revealing host-specific microbiomes with high biotechnological value.

The paper analyzes global ocean data to show that physical and biological patchiness are decoupled, using variance slope to quantify spatial patterns.

The paper introduces SIAMCAT, a machine-learning toolbox for metagenomics analysis, showing it can identify disease-specific and shared biomarkers across studies.

This study quantifies how selection, dispersal, and drift shape prokaryotic and picoeukaryotic communities in the sunlit ocean, finding dispersal dominates picoeukaryotes while selection and dispersal balance prokaryotes.