Integrating Biological Big Data Research into Student Training and Education

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Hong QinPrincipal Investigator: Hong Qin, University of Tennessee Chattanooga

 

 

Donald AdjerohCo-PI: Donald Adjeroh, West Virginia University Research Corporation

 

 

 

 mentewab ayalewCo-PI: Mentewab Ayalew, Spelman College

 

 

 Fan WuCo-PI: Fan Wu, Tuskegee University

 

 

 

Amount: $1 Million

 

The project is a collaborative effort among the University of Tennessee Chattanooga, Tuskegee University, Spelman College, and West Virginia University to integrate and automate biological big data into student training and education. Leveraging the team’s expertise in computer science and ecology, the project will offer training workshops on using network models to integrate heterogeneous genomic big data and heterogeneous ecological big data to address life sciences questions. The team will engage faculty and students in developing a protocol to automate field data collection. The team also will prototype automated methods to enhance plant digitization, leveraging the collection of digitized plant images and meta-information at the Southeast Regional Network of Expertise and Collections, as well as ecological datasets in collaboration with the Encyclopedia of Life.

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