NVDA Foundation: Computational Solutions in Cancer Omics

NVDA is seeking proposals for projects that use omics data and innovative computing techniques, including deep learning, to dramatically impact the battle against cancer and reduce the time it takes for research outcomes to be used effectively in a clinical environment. Areas of interest include:

• Development of new computational tools that use multiple large-scale, publicly-available omics datasets (including genomics, proteomics, transcriptomics, metabolomics, etc.) to increase knowledge of cancer biology and to advance the diagnosis, treatment or prevention of cancer.
• Integration of new computational omics analysis techniques into existing, well-established omic data analysis pipelines/frameworks to better understand cancer biology and enable researchers/clinicians to rapidly leverage omics advancements in cancer diagnosis and treatment.
• Development of new and innovative multi-omic simulation and/or visualization methods that make computational biology accessible to research scientists with no programming experience, bridging the gap between computational data mining and human knowledge to extend insight

Funding: $200K for 2 years.

Please contact Research Authority if planning to submit (Nonprofit).

http://www.nvidia.com/object/compute-the-cure-research-grants.html