Francesc Català‐Moll

The paper uses airway organoids from wildlife and livestock species to assess susceptibility to influenza viruses, revealing species-specific infection patterns and adaptation mechanisms.

The paper introduces dar, an R package that integrates multiple differential abundance methods into a consensus framework to improve microbiome data analysis.

The paper identifies genetic variants influencing DNA methylation in blood and shows their associations with complex traits and diseases, but finds limited direct causality.

The paper identifies four molecular clusters in systemic autoimmune diseases using transcriptome and methylome data, showing three stable aberrant patterns and one non-specific cluster.

This study identifies novel genetic drivers in Sjogrens Syndrome through an integrative multi-omics approach, revealing epigenetic signatures and regulatory variants associated with the disease.