James C. Hu

The paper uses chemical-genetic analysis of RNA polymerase mutants to uncover structure-function relationships and physiological trade-offs in Escherichia coli.

The paper describes a crowdsourcing initiative, CACAO, where undergraduates contribute gene function annotations to the Gene Ontology, enhancing coverage and enabling community-driven curation.

The paper reanalyzes high-throughput chemical genomics data for E. coli K-12 to assess phenotypic profile similarity metrics and their ability to infer gene function.

microbialPhenotypes provides an R package for analyzing high-throughput microbial phenotype data with tools for annotation and data cleaning.

The paper identifies key phenotypic dimensions associated with cell cycle genes in yeast using computational methods to simplify phenotype categorization and gene function discovery.