Ramón Gallego

This study uses drift-driven simplification to generate simplified microbial communities that retain ecological cohesiveness and function.

The paper introduces a modular high-throughput pipeline for isolating and phylogenetically identifying bacteria from complex microbiomes using automated methods.

The paper assesses faunal composition and its spatial and temporal variation in a Mediterranean lagoon using eDNA metabarcoding from sponge tissues collected in different seasons and areas.

The paper investigates the tomato rhizosphere microbiome's assembly process and identifies phylogenetic and functional relationships that drive community composition.

rCRUX generates comprehensive metabarcoding reference libraries for user-defined loci, outperforming existing tools in creating diverse and accurate databases.

This study investigates non-detections in metabarcoding data to improve quantitative accuracy by modeling amplification biases and stochastic sampling effects.

This study uses simulations to understand how PCR processes affect species detection in eDNA studies and finds that proportional read indices accurately reflect taxon biomass when amplification efficiency is high.