Dynamics and Evolution of Associative Memory in Bacterial Populations
Technical Report,01 Jun 2012,30 Apr 2016
University of California - Davis Davis United States
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This project addressed two fundamental questions in systems microbiology. The first is, can predict microbial expression and phenotypes in novel conditions if we use past measurements to model their cellular state and behavior The second is, how cells adapt in the presence of stress combinations that are either sequential or simultaneous. The project has been highly successful providing answers in both, creating the most accurate and integrative model for microbial phenotype prediction and validating findings in our experimental lab.