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
- Clemson University researchers created an interactive visualization tool using NVIDIA GPUs to analyze complex genetic graphs and identify core genes responsible for biological processes.
- The collaboration between biochemist Alex Feltus and computer engineering PhD student Karan Sapra leverages GPU acceleration to speed up agricultural crop research.
- This approach aims to develop crops faster to address global population growth and climate change challenges.
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- Watch the G3NA-V presentation from the NVIDIA GPU Technology Theater at SC15.
- Share your GPU-accelerated science with NVIDIA.
- Watch more researcher stories about GPU acceleration in scientific work.
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