Share Your Science: Understanding Cancer Biology with GPUs

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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About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter