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 #
1U54HL108460-01
Application #
8045898
Study Section
Special Emphasis Panel (ZRG1-BST-K (52))
Project Start
2010-09-20
Project End
2015-06-30
Budget Start
2010-09-01
Budget End
2011-06-30
Support Year
1
Fiscal Year
2010
Total Cost
$199,577
Indirect Cost

  Institution

Name
University of California San Diego
Department
Type
DUNS #
804355790
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
Weng, Wei-Hung; Wagholikar, Kavishwar B; McCray, Alexa T et al. (2017) Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach. BMC Med Inform Decis Mak 17:155
Groat, Danielle; Grando, Maria A; Thompson, Bithika et al. (2017) A Methodology to Compare Insulin Dosing Recommendations in Real-Life Settings. J Diabetes Sci Technol 11:1174-1182
Doan, Son; Ritchart, Amanda; Perry, Nicholas et al. (2017) How Do You #relax When You're #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets. JMIR Public Health Surveill 3:e35
Grando, Maria Adela; Groat, Danielle; Soni, Hiral et al. (2017) Characterization of Exercise and Alcohol Self-Management Behaviors of Type 1 Diabetes Patients on Insulin Pump Therapy. J Diabetes Sci Technol 11:240-246
Burgoyne, Adam M; De Siena, Martina; Alkhuziem, Maha et al. (2017) Duodenal-Jejunal Flexure GI Stromal Tumor Frequently Heralds Somatic NF1 and Notch Pathway Mutations. JCO Precis Oncol 2017:
Chen, Feng; Wang, Shuang; Jiang, Xiaoqian et al. (2017) PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. Bioinformatics 33:871-878
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

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