Gut microbiome and human health

Integrating genomics, computational biology, and systems biology approaches to study the composition and dynamics of the human gut microbiome, as well as the interactions between microbes and hosts.


Circular noncoding RNAs

Establish statistical models and algorithms for circular RNA recognition, quantification, transcript assembly, alternative splicing identification, and functional annotation, providing methodological tools for unraveling their biogenesis mechanisms and functions.


Single-cell and spatial omics

Based on microfluidics and deep learning technologies, establish new methods for single cell and spatial transcriptomics / proteomics / metabolomics, uncovering the spatial heterogeneity of cells and functions, and gaining a deeper understanding of the impact of the gut microbiota and its metabolites on the host.