Abstract

C. Core 3 - Infrastructure The computational infrastructure for iDASH will be provided by the San Diego Supercomputer Center (SDSC), which offers a large spectrum of services, hardware and software packages, accommodating the needs of the most modest computational projects as well as those requiring high performance computing (HPC) and unconventional innovative storage and network architectures. SDSC is certified and accredited to meet both FISMA and HIPAA requirements. IDASH will enable researchers from projects described in this proposal as well as other researchers across the country to access resources needed to complete data and knowledge discovery activities and accomplish their scientific goals. The underiying scalable technical infrastructure will be enhanced with technical and domain experts, described in Cores 1 and 2.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54HL108460-05
Application #
8697114
Study Section
Special Emphasis Panel (ZRG1)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
5
Fiscal Year
2014
Total Cost
Indirect Cost

  Institution

Name
University of California San Diego
Department
Type
DUNS #
City
La Jolla
State
CA
Country
United States
Zip Code
92093

  Publications

Chen, Luyao; Aziz, Md Momin; Mohammed, Noman et al. (2018) Secure large-scale genome data storage and query. Comput Methods Programs Biomed 165:129-137
Groat, Danielle; Soni, Hiral; Grando, Maria Adela et al. (2018) Self-Reported Compensation Techniques for Carbohydrate, Exercise, and Alcohol Behaviors in Patients With Type 1 Diabetes on Insulin Pump Therapy. J Diabetes Sci Technol 12:412-414
Nguyen, Nghia H; Khera, Rohan; Ohno-Machado, Lucila et al. (2018) Annual Burden and Costs of Hospitalization for High-Need, High-Cost Patients With Chronic Gastrointestinal and Liver Diseases. Clin Gastroenterol Hepatol 16:1284-1292.e30
Vaidya, Jaideep; Shafiq, Basit; Asani, Muazzam et al. (2017) A Scalable Privacy-preserving Data Generation Methodology for Exploratory Analysis. AMIA Annu Symp Proc 2017:1695-1704
Spahn, Philipp N; Bath, Tyler; Weiss, Ryan J et al. (2017) PinAPL-Py: A comprehensive web-application for the analysis of CRISPR/Cas9 screens. Sci Rep 7:15854
Wang, Meng; Ji, Zhanglong; Wang, Shuang et al. (2017) Mechanisms to protect the privacy of families when using the transmission disequilibrium test in genome-wide association studies. Bioinformatics 33:3716-3725
Groat, Danielle; Grando, Maria Adela; Soni, Hiral et al. (2017) Self-Management Behaviors in Adults on Insulin Pump Therapy. J Diabetes Sci Technol 11:233-239
Wang, Shuang; Jiang, Xiaoqian; Singh, Siddharth et al. (2017) Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States. Ann N Y Acad Sci 1387:73-83
Raisaro, Jean Louis; Tramèr, Florian; Ji, Zhanglong et al. (2017) Addressing Beacon re-identification attacks: quantification and mitigation of privacy risks. J Am Med Inform Assoc 24:799-805
Eguchi, Akiko; Lazaro, Raul G; Wang, Jiaohong et al. (2017) Extracellular vesicles released by hepatocytes from gastric infusion model of alcoholic liver disease contain a MicroRNA barcode that can be detected in blood. Hepatology 65:475-490

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