Tong Zhang

This study reveals metabolic segregation of H2 and formate in anaerobic digestion consortia, showing their distinct roles in primary and secondary fermentation and highlighting functional gene clusters.

Melon is a metagenomic tool that uses long-read marker genes for taxonomic identification and quantification, showing improved performance in mock and simulated samples.

This study identifies novel biosynthesis and biodegradation potentials in microbial dark matter from hypersaline lakes, expanding genetic resources for biotechnology.

This study compares Oxford Nanopore adaptive sequencing and PCR amplicon sequencing for detecting Mycobacterium Tuberculosis in metagenomic samples and calls variants, with an open-source analysis framework.

This study introduces BASALT, a metagenomic binning toolkit that improves MAG recovery and quality, and applies it to a Salt Lake sediment sample to discover new Lokiarchaeotal MAGs.

The paper develops an online platform to search and analyze antibiotic resistance gene distribution in metagenomic and bacterial genome databases.

The paper develops a pipeline to predict cellulolytic competency in microbes by analyzing genome annotations and synergy machineries, identifying five groups based on carbohydrate active modules.

The paper identifies new methane-metabolizing archaea in Bathyarchaeota and Verstraetearchaeota, expanding known methane metabolism beyond Euryarchaeota.

AQMM provides an absolute quantification method for metagenome and metatranscriptome data, validated through simulations and real-world experiments.