Integrating Data for Analysis, Anonymization, and Sharing (iDASH)
How to cite this record FAIRsharing.org: iDASH; Integrating Data for Analysis, Anonymization, and Sharing (iDASH); DOI: 10.25504/FAIRsharing.k81521; Last edited: Feb. 22, 2018, 2:54 p.m.; Last accessed: May 27 2018 12:33 a.m.
Record updated: Jan. 30, 2018, 7:44 p.m. by The FAIRsharing Team.
|Microrna Analysis in GPU Infrastructure||https://idash.ucsd.edu/dbp-tools|
|Genome Query Language||https://idash.ucsd.edu/dbp-tools|
|Observational Cohort Event Analysis and Notification System||https://idash.ucsd.edu/dbp-tools|
|Sensing Sedentary (and physical activity behavior)||https://idash.ucsd.edu/dbp-tools|
iDASH: integrating data for analysis, anonymization, and sharing
Lucila Ohno-Machado , Vineet Bafna , Aziz A Boxwala , Brian E Chapman , Wendy W Chapman , Kamalika Chaudhuri , Michele E Day , Claudiu Farcas , Nathaniel D Heintzman , Xiaoqian Jiang , Hyeoneui Kim , Jihoon Kim , Michael E Matheny , Frederic S Resnic , Staal A Vinterbo , and the iDASH team
Journal of the American Medical Informatics Association 2012
No guidelines defined
No semantic standards defined
Models and Formats
No syntax standards defined
No related databases defined
This record is not implemented by any policy.
This record is in need of a maintainer. If you login, you'll be able to claim this record.
U54HL108460 (National Heart Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA)