Gil Speyer, Senior Postdoctoral Fellow at the Translational Genomics Research Institute (TGen) shares how NVIDIA technology is accelerating the computer processing of transcriptomes from thousands of cells gleaned from patient tumor samples.
Using NVIDIA Tesla K40 GPUs and CUDA, the scientists developed a statistical analysis tool called EDDY (evaluation of differential dependency) that examines in precise detail how cells’ DNA controls protein production and how proteins interact with each other and with other molecules. The tool will advance the practice of precision medicine by quickly informing doctors with the best options for attacking each individual patient’s cancer.
The TGen team was recently awarded $200,000 from the NVIDIA Foundation, our employee-led philanthropic arm, to further develop EDDY.
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Share Your Science: Understanding Cancer Biology with GPUs
Nov 29, 2016
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AI-Generated Summary
- Gil Speyer, a Senior Postdoctoral Fellow at the Translational Genomics Research Institute, is using NVIDIA technology to speed up the analysis of genetic data from patient tumor samples.
- The team developed a tool called EDDY that uses NVIDIA Tesla K40 GPUs and CUDA to examine how cells' DNA controls protein production and interactions.
- The EDDY tool will help advance precision medicine by providing doctors with personalized cancer treatment options, and has recently received $200,000 in funding from the NVIDIA Foundation to further its development.
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