Carolina N. Correia

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 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 identifies a 170-gene transcriptional signature in bovine peripheral blood post-M. bovis infection following PPD-b stimulation, suggesting potential biomarkers for bTB diagnostics.

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.

This study uses population genomics to analyze the Galway sheep breed, finding gene flow from British Leicester and Suffolk sheep, intermediate genetic diversity, and genomic signatures of selection related to meat and wool production.

The paper assesses globin mRNA impact on RNA-seq in horses and cattle, finding low levels that eliminate the need for globin depletion.

This study uses genome-wide SNP data to assess genetic diversity and conservation status of Kerry cattle, revealing reduced effective population size and increased inbreeding.