Microbiome & immunity
I study host-microbe interactions in infection, inflammation and precision health, with an emphasis on interpretable biological signals.
HIV, gut ecology, immune response
Bioinformatics · microbiome · translational data science
Francesc Català-Moll
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I build reproducible analyses and data tools to understand how microbial communities shape immunity, infection and inflammation. My work connects microbiome research, epigenetics, multi-omics and modern AI into clear evidence for scientific and clinical decisions.
Microbiome Multi-omics Reproducible tools AI-guided analysis
Research focus
Turning complex biology into usable evidence
My work sits at the intersection of computational biology, microbiome analytics and translational research. I care most about methods that are rigorous enough for science and clear enough for real decisions.
Multi-omics evidence
I integrate microbiome, epigenomic and clinical data into reproducible analyses that help teams move from noisy measurements to decisions.
Epigenetics, resistome, metadata
Research software
I build practical R/Bioconductor tools and workflows for robust differential abundance testing, validation and communication.
dar, biocroxytest, pipelines
Featured Projects
Research tools and applications in bioinformatics and data analysis
Selected Publications
A curated set of recent and representative papers in microbiome, infectious disease and computational biology
2026
Dolutegravir restores gut microbiota in late-stage HIV-1 unlike darunavir: an open-label, randomized clinical trial
Català-Moll, Francesc et al.
Nature Communications
10.1038/s41467-026-69846-7
2026
Airway organoids reveal patterns of influenza A tropism and adaptation in wildlife species
Tarrés-Freixas, Ferran, ..., Català-Moll, Francesc, et al.
Emerging Microbes & Infections
10.1080/22221751.2026.2654273
2025
dar: A Consensus-Based Framework for Differential Abundance Testing in Microbiome Data
Farré-Badia, Judit, ..., Català-Moll, Francesc, et al.
bioRxiv
10.1101/2025.02.07.637000
2025
Identification of Clinical and Genomic Features Associated with SARS-CoV-2 Reinfections
Muñoz-López, Francisco, ..., Català-Moll, Francesc, et al.
Viruses
10.3390/v17060840
2024
The rectal microbiome: understanding its role in HIV transmission
Català-Moll, Francesc and Paredes, Roger
Current Opinion in HIV and AIDS
10.1097/coh.0000000000000906
2022
Vaccination with an HIV T-cell immunogen induces alterations in the mouse gut microbiota
A. Borgognone, ..., F. Català-Moll, et al.
npj Biofilms and Microbiomes
10.1038/s41522-022-00368-y
Recent Posts
Insights and tutorials on bioinformatics, data analysis, and research methods
What on Earth Is the Microbiome? (Explained as If We Were Having a Beer) 🍺
You’re not just you: you’re an ecosystem. Over a beer, we explore what the microbiome is, what it does for you, and why losing the balance can mess with your health.
Letting AI pick the right differential abundance method, taxon by taxon
Microbiome data are messy, and no single differential abundance method wins everywhere. Here I explore how AI could learn, taxon by taxon, which method is most reliable using modern benchmarks and simulated/semi-simulated datasets.
Protein Binding Pockets: Structure, Dynamics and AI-Based Prediction
A deep dive into what binding pockets are, how they shape enzyme function, and how modern AI and structure prediction tools let us map them at scale.