Chengkai Zhu

Long-read metagenomic sequencing reveals novel lineages and functional diversity in urban soil microbiome

The paper uses long-read metagenomic sequencing to analyze urban soil samples, revealing novel microbial lineages and extensive functional diversity.

A catalogue of small proteins from the global microbiome

The paper constructs a global microbial small ORFs catalogue and identifies a tool for annotating small proteins in microbial genomes.

SemiBin: Incorporating information from reference genomes with semi-supervised deep learning leads to better metagenomic assembled genomes (MAGs)

SemiBin improves metagenomic binning by integrating reference genomes with semi-supervised deep learning, producing higher-quality bins with greater taxonomic diversity in simulated and real datasets.