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On the Advanced Cyberinfrastructure Teaching Facility (ACTF), learners and instructors explore computation at the big-data end of the spectrum, in topics ranging from Bioinformatics to Data Science.
The ACTF, hosted by the CGRB, provides high-performance-computing resources dedicated to instructional needs. These include:
To inquire about utilizing the ACTF for your course, or guidance on developing curricula to most effectively use these high-performance resources, please contact the trainers.
Using a systems biology approach, Martin, Aayushi, and Yvonne analyzed gene expression data from three tissues of grape berries (skin, pulp and seed) with Weighted Gene Co-Expression Network Analysis (WGCNA) to identify hub genes and modules associated with ripening processes.
Utilizing GPU-enabled deep learning, this project aimed to automatically identify and measure tree trunks from images for forest management purposes.