Core 5 - Dissemination The dissemination core will enable iDASH products to be made available to biomedical and behavioral researchers, through workshops, user training and user support, as well as interfacing with the software industry to facilitate technology transfer, while maintaining the rules for open-source software sharing of original products developed at IDASH. Our goal is to ensure that the algorithms, tools and services provided by iDASH are accessible to other researchers and end users in academia and industry. As outlined in the overview, a key objective of our dissemination efforts will be to ensure the utility iDASH products for users in a variety of settings (especially those with limited resources for software development), testing and data sharing,

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54HL108460-04
Application #
8509015
Study Section
Special Emphasis Panel (ZRG1-BST-K)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
4
Fiscal Year
2013
Total Cost
$199,372
Indirect Cost
$63,867
Name
University of California San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Wang, Lichang; Fang, Yong; Aref, Dima et al. (2016) PALME: PAtients Like My gEnome. AMIA Jt Summits Transl Sci Proc 2016:219-24
Levy, Eric; Marty, Rachel; Gárate Calderón, Valentina et al. (2016) Immune DNA signature of T-cell infiltration in breast tumor exomes. Sci Rep 6:30064
Wang, Shuang; Zhang, Yuchen; Dai, Wenrui et al. (2016) HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS. Bioinformatics 32:211-8
Wang, Shuang; Jiang, Xiaoqian; Singh, Siddharth et al. (2016) Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States. Ann N Y Acad Sci :
Shi, Eileen; Chmielecki, Juliann; Tang, Chih-Min et al. (2016) FGFR1 and NTRK3 actionable alterations in ""Wild-Type"" gastrointestinal stromal tumors. J Transl Med 14:339
Farhan, Wael; Wang, Zhimu; Huang, Yingxiang et al. (2016) A Predictive Model for Medical Events Based on Contextual Embedding of Temporal Sequences. JMIR Med Inform 4:e39
Tang, Haixu; Jiang, Xiaoqian; Wang, Xiaofeng et al. (2016) Protecting genomic data analytics in the cloud: state of the art and opportunities. BMC Med Genomics 9:63
Azad, Priti; Zhao, Huiwen W; Cabrales, Pedro J et al. (2016) Senp1 drives hypoxia-induced polycythemia via GATA1 and Bcl-xL in subjects with Monge's disease. J Exp Med 213:2729-2744
Doan, Son; Maehara, Cleo K; Chaparro, Juan D et al. (2016) Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes. Acad Emerg Med 23:628-36
Shi, Haoyi; Jiang, Chao; Dai, Wenrui et al. (2016) Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). BMC Med Inform Decis Mak 16 Suppl 3:89

Showing the most recent 10 out of 155 publications