Benchmarking Blockchain-Based Gene-Drug Interaction Data Sharing Methods: A Case Study from the iDASH 2019 Secure Genome Analysis Competition Blockchain Track
Citation
Please cite as below:
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Tsung-Ting Kuo, Tyler Bath, Shuaicheng Ma, Nicholas Pattengale, Meng Yang, Yang Cao, Corey M. Hudson, Jihoon Kim, Kai Post, Li Xiong, and Lucila Ohno-Machado, "Benchmarking Blockchain-Based Gene-Drug Interaction Data Sharing Methods: A Case Study from the iDASH 2019 Secure Genome Analysis Competition Blockchain Track." International Journal of Medical Informatics (IJMI). 2021. doi: 10.1016/j.ijmedinf.2021.104559.
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Tsung-Ting Kuo, Tyler Bath, Shuaicheng Ma, Nicholas Pattengale, Meng Yang, Yang Cao, Corey M. Hudson, Jihoon Kim, Kai Post, Li Xiong, & Lucila Ohno-Machado. (2021). tsungtingkuo/genedrug v1.0.0 (v1.0.0). Zenodo. doi: 10.5281/zenodo.5297252.
Introduction
This is the code for the iDASH 2019 Secure Genome Analysis Competition Track 1. The three methods, Query Index, Index Everything, and Dual-Scenario Indexing, are located in their corresponding folders. More information can also be found in our competition website.
Acknowledgement
The competition is funded by the U.S. National Institutes of Health (NIH) (R13HG009072). T.-T. Kuo is partly funded by the National Human Genome Research Institute (NHGRI) of the U.S. NIH under Award Number R00HG009680, the U.S. NIH (R01HL136835 and R01GM118609), and UCSD Academic Senate Research Grant RG084150. L. Ohno-Machado is funded by the U.S. NIH (R01GM118609, R01HL136835, R01HG011066). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. C. M. Hudson and N. Pattengale are partly supported by the Laboratory Directed Research and Development program at Sandia National Laboratories, a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government.
Contact
Thank you for using our software. If you have any questions or suggestions, please kindly contact Tsung-Ting Kuo (tskuo@ucsd.edu), UCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, USA.
