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Abstract
Highlights
* We analyzed in vivo gene expression data from both the bovine host and the zoonotic bacterial pathogens. * We developed computational systems biology models of the host-pathogen interactions. * We applied Dynamic Bayesian Network machine learning to identify pathogenicity biosignatures. * The systems biology analysis identified significant biosignature mechanistic genes as deletion targets for enhanced rational design and attenuation of live vaccine candidates.