Zhongtang Yu

The paper compares manually weighted taxonomy classifiers with unweighted ones for rumen microbiome analysis, finding improved classification accuracy and reduced error rates.

This study reveals alternative nitrogen assimilation pathways in rumen microbes and shows that dietary concentrate levels, not protein content, influence N assimilation gene expression.

The paper develops GutEuk, a deep-learning classifier, and curated protein databases to improve identification and functional analysis of eukaryotic microbes in ruminant gut metagenomes.

This paper evaluates ITS1 and ITS2 as better markers than 18S rRNA for species-level ciliate classification in freshwater and rumen environments.