We propose to integrate the existing and new experimental data with computational tools to model interaction networks for the most prominent kinetoplastid pathogens. These interaction networks will vastly expand the functional annotation of the kinetoplastid genomes, which in turn are critical for identifying new routes of disease intervention.
Keywords: genome annotation; kinetoplastids.
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