J. Bilodeaux

This paper uses machine learning to predict antimicrobial resistance (AMR) across ESKAPE pathogens by analyzing genomic data and identifying molecular features associated with drug resistance.

This study demonstrates the use of updated nanopore sequencing to characterize 43 RNA modifications in tRNAs, including mitochondrial and viral tRNAs, and provides best practices for future research.