Understanding the critical genetic traits of agricultural crops will help develop crops faster in order to handle the world’s population growth and climate change.
In a collaboration between Biochemist Alex Feltus and Computer Engineering PhD student Karan Sapra, the Clemson University researchers have created an interactive visualization tool using NVIDIA GPUs that allows them to look at complex genetic graphs to detect the core genes responsible for biological processes.
“We can speed-up the research in a way that I never thought was possible with this kind of complexity,” said Dr. Feltus of the Genetics and Biochemsitry department at Clemson University.
Watch Dr. Feltus’ talk “G3NA-V: A GPU-Enabled Human Interaction and Visualization Tool for Mining and Aligning Complex Gene Interaction Graphs” presented at the NVIDIA GPU Technology Theater at SC15: Watch Now
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Share Your Science: Understanding Agricultural Genomics with GPUs
Mar 30, 2016
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AI-Generated Summary
- Researchers at Clemson University have developed an interactive visualization tool using NVIDIA GPUs to analyze complex genetic graphs and identify key genes responsible for biological processes in agricultural crops.
- The tool, created by Biochemist Alex Feltus and Computer Engineering PhD student Karan Sapra, enables scientists to speed up research on genetic traits that can help develop crops faster to address population growth and climate change.
- According to Dr. Alex Feltus, this technology has significantly accelerated research in a way that was previously not possible due to the complexity of the data.
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