Accession Number:

AD1058584

Title:

Dynamics and Evolution of Associative Memory in Bacterial Populations

Descriptive Note:

[Technical Report, Final Report]

Corporate Author:

University of California - Davis

Personal Author(s):

• Tagkopoulos, Ilias

Report Date:

2017-01-23

Pagination or Media Count:

13

Abstract:

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.

Descriptors:

• computational biology
• predictive modeling
• gene expression
• engineering
• machine learning
• systems biology
• content addressable memory
• biology
• chemistry
• computational science
• deep learning
• department of defense
• mathematics
• abstracts
• agreements
• algorithms
• data integration
• glycoside hydrolases
• information science
• models

Subject Categories:

• Microbiology

Distribution Statement:

[A, Approved For Public Release]