José Bento

The paper develops a metadata schema based on Schema.org to improve the findability of infectious disease datasets and computational tools across repositories.

This paper introduces transcriptomic entropy as a generalizable predictor of bacterial fitness and antibiotic sensitivity across species and stress conditions using RNA-Seq and experimental evolution data.

BFClust improves pan-genome clustering by providing confidence scores and enabling cluster augmentation, outperforming existing methods in accuracy and scalability.

This paper predicts bacterial survival and adaptive evolution using multi-omics data, network analysis, and machine learning to identify coordinated responses and gene adaptation.