Nazifa Ahmed Moumi

The paper introduces a pipeline using PPINs and machine learning to identify ARGs, showing improved discrimination of ARGs from nonARGs and their association with mobile genetic elements.

ProtAlign-ARG improves antibiotic resistance gene detection by combining protein language models with alignment-based scoring, achieving higher recall than existing methods.

ARGContextProfiler improves accuracy in identifying antibiotic resistance gene contexts in metagenomic data using assembly graphs and read mapping.

Fast-Part partitions biological sequence data efficiently while maintaining homology separation and stratification ratios.

CIWARS is a web server for analyzing longitudinal metagenomic data to detect antibiotic resistance genes and assess AR risks in environmental samples.