Stefanía Magnúsdóttir

The paper develops a metabolite signature to predict post-weaning diarrhoea in pigs using mass spectrometry and machine learning, but finds no consistent pathway enrichment.

The paper simulates microbial communities to show sequencing depth and false positives significantly affect metagenome-assembled genome recovery accuracy.

AGORA2 reconstructs the human microbiome at scale, revealing individual-specific drug metabolism capabilities and correlations with clinical parameters.

MetaboShiny provides an interactive tool for analyzing and annotating direct infusion metabolomics data, demonstrating its use on lung cancer urine samples.

The paper introduces a toolbox for modeling microbial interactions and communities using metagenomic data and extends the COBRA Toolbox.

The paper introduces the Virtual Metabolic Human database, which integrates human and gut microbiome metabolism with nutrition and disease data to support biomedical research.