Po‐E Li

The paper characterizes global untreated wastewater microbial diversity using 1,344 metagenomes, revealing uncharacterized microbes and creating a public database for future research.

This paper introduces a protein language model that predicts mutation impacts and lineage classification in viral genomes, offering faster and more accurate functional predictions than traditional methods.

This study evaluates the impact of sequencing technologies and bioinformatic protocols on SARS-CoV-2 variant calling and introduces standardized parameters to improve pipeline consistency.

PanGIA is a metagenomics analysis platform designed for pathogen detection and microbial community profiling, offering improved accuracy and usability for non-expert users.