Xiangpeng Li

The paper develops a spatial multi-omic method to study lipid dysregulation in Alzheimer's disease across brain regions in mice, identifying region-specific glial metabolic changes.

This paper presents a low-cost 16S rRNA sequencing curriculum for undergraduates, enabling hands-on microbiome research through open-source tools and simplified workflows.

The paper introduces PAMA-seq, a method for cross-domain microbial taxonomic profiling, validated on synthetic and real samples, showing improved accuracy and efficiency over existing methods.

StrainFacts enables scalable strain inference in metagenomic data, showing comparable accuracy to intensive tools and revealing strain diversity patterns in human stool samples.

This paper introduces a microfluidic method to sequence HIV proviruses and their integration sites, achieving >90% capture and sequencing of paired genomes from treated patients.