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Trusted resource allocation in volunteer edge-cloud computing for scientific applications
(University of Missouri--Columbia, 2022)
Data-intensive science applications in fields such as e.g., bioinformatics, health sciences, and material discovery are becoming increasingly dynamic and demanding with resource requirements. Researchers using these ...
Data mining and machine learning methods for chromosome conformation data analysis
(University of Missouri--Columbia, 2019)
Sixteen years after the sequencing of the human genome, the Human Genome Project (HGP), and 17 years after the introduction of Chromosome Conformation Capture (3C) technologies, three-dimensional (3-D) inference and big ...