We hypothesize that this approach will reveal new mechanisms of pathogen-host interaction. We are also investigating other features associated with virulence factors and developing a program to facilitate computational identification of such features in pathogen genomes. We are building databases of all our information, based on the increasing number of pathogen genomes which have been, or are currently being, sequenced. These databases will be made publicly available. Provides insight into horizontal gene transfer events and the evolution of pathogenicity and pathogen-host interactions.
Interdisciplinary team fosters unique ideas and collaborations.
Automated approach can be continually updated. Expression-independent method for identifying possible pathogenicity factors. Enables rapid filtering of newly released genome sequences to detect candidate genes for further focused study Public database of findings will enable other researchers to capitalize on the findings and promote further collaboration. Candidate genes identified by the informatics analysis will be further studied both by group members and through collaboration with others. See also the publications and presentations associated with this project for more information.