The Stanford Vision Advanced Computational Core will provide support in computer storage, high performance computing and programming for vision research. The Core will support hardware and system administration services for an existing central computing resource, known as the Stanford Virtual Computing Service (VCS), which consists of storage and high performance computing accessible through a high-speed network. A second aspect of the Core is to support programming services to facilitate the exchange of adaptation of special purpose software and algorithms between laboratories that have a need for computational modeling and analysis, but whose personnel lack sufficient computational expertise. The Core will be supervised by Stephen Baccus, Associate Professor in the Department of Neurobiology, an NEI-funded investigator who has extensive expertise in using computational and experimental approaches to understand the retina and visual system.

Public Health Relevance

Advanced Computational Core PROJECT RELEVANCE The human sense of sight involves the development and action of billions of neurons and glia to process the signals in millions of photoreceptors. Understanding how vision works and how it fails in disease requires the acquisition, storage and computational analysis of large datasets derived from human and animal studies, all to be supported by this core to increase our knowledge of the visual system.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Center Core Grants (P30)
Project #
5P30EY026877-02
Application #
9566879
Study Section
Special Emphasis Panel (ZEY1)
Project Start
Project End
Budget Start
2018-07-01
Budget End
2019-06-30
Support Year
2
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Velez, Gabriel; Bassuk, Alexander G; Colgan, Diana et al. (2017) Therapeutic drug repositioning using personalized proteomics of liquid biopsies. JCI Insight 2: