David Calderón-Franco

The paper predicts other meta-omics data from metagenomics using machine learning, showing reliable predictions for transcript and metabolite abundances but challenges in protein profiles, and demonstrates utility for inflammatory bowel disease classification.

This study evaluates portable in-field DNA sequencing for pathogen and antimicrobial resistance detection, finding it feasible and comparable to traditional lab methods.

This study evaluates how DNA extraction methods affect microbiome and resistome analysis in activated sludge, finding significant variability in results depending on the technique used.