Thomas Jonathan Hall

This study identifies candidate genes for trypanotolerance in African cattle by integrating genomic and transcriptomic data from hybrid populations.

This study uses multi-omics approaches to analyze how M. bovis infection reprograms the epigenome of bovine alveolar macrophages, identifying key genes and pathways involved in the host response.

The paper develops mRNA-based classifiers using RNA-seq and machine learning to accurately distinguish bTB-positive from bTB-negative cattle and other pathogens.

This study compares gene expression in trypanotolerant and trypanosusceptible cattle during trypanosome infection across multiple tissues and time points, identifying immune-related and coagulation genes associated with trypanotolerance.

This study integrates transcriptomic, genomic, and GWAS data to identify genes and eQTLs associated with the PB transcriptome response to M. bovis infection in cattle.

The paper uses local ancestry inference tools to analyze admixture in African and European cattle populations, identifying functional consequences of ancestry on disease resistance and physiological traits.

This study integrates multi-omics data from bovine and human macrophages infected with M. bovis and M. tuberculosis to identify genes and pathways associated with resistance to mycobacterial infection.

The paper integrates multi-omics data with genome-wide association results to identify infection response pathways and genomic variants associated with resistance to bovine tuberculosis.

The paper identifies transcriptional and chromatin changes in bovine alveolar macrophages during Mycobacterium bovis infection and links them to genetic variants associated with tuberculosis resistance.

This study examines the DNA methylome of bovine alveolar macrophages infected with Mycobacterium bovis and finds no significant changes in DNA methylation, but identifies genes with intermediate promoter methylation enriched for immune-related functions.