Laura Judith Marcos-Zambrano

FungiGutDB is a curated database for accurate gut mycobiome taxonomic assignment using whole genome sequencing, showing improved performance over standard databases in characterizing fungal communities in human microbiome studies.

This study identifies two clusters of non-responsive celiac disease patients based on microbiome network structure and function, linking them to distinct symptom profiles and metabolic pathways.

The paper examines gut microbial ecosystems across different metabolic and obesity phenotypes, finding that metabolic health, not obesity, drives microbial connectivity and functional cohesion.

The paper identifies microbial genera associated with diet quality and diabetes risk using microbiome data and machine learning.

The paper identifies potential colorectal cancer biomarkers from the gut microbiome of obese individuals using machine learning and network biology.