当生物学涉及个人隐私：生物大数据中隐私与伦理的潜在挑战。
When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data.
作者信息
Gürsoy Gamze, Harmanci Arif, Tang Haixu, Ayday Erman, Brenner Steven E
机构信息
Computational Biology and Bioinformatics Program, Molecular Biophysics & Biochemistry, Yale University, New Haven, CT, 06511, USA*This work is partially supported by NIH grant U01EB023686.,
出版信息
Pac Symp Biocomput. 2019;24:386-390.
High-throughput technologies for biological data acquisition are advancing at an increasing pace. Most prominently, the decreasing cost of DNA sequencing has led to an exponential growth of sequence information, including individual human genomes. This session of the 2019 Pacific Symposium on Biocomputing presents the distinctive privacy and ethical challenges related to the generation, storage, processing, study, and sharing of individuals' biological data generated by multitude of technologies including but not limited to genomics, proteomics, metagenomics, bioimaging, biosensors, and personal health trackers. The mission is to bring together computational biologists, experimental biologists, computer scientists, ethicists, and policy and lawmakers to share ideas, discuss the challenges related to biological data and privacy.
用于生物数据采集的高通量技术正以越来越快的速度发展。最显著的是，DNA测序成本的降低导致了序列信息呈指数级增长，包括个人人类基因组。2019年太平洋生物计算研讨会上的这一环节介绍了与通过多种技术（包括但不限于基因组学、蛋白质组学、宏基因组学、生物成像、生物传感器和个人健康追踪器）生成、存储、处理、研究和共享个人生物数据相关的独特隐私和伦理挑战。其使命是召集计算生物学家、实验生物学家、计算机科学家、伦理学家以及政策制定者和立法者，以分享想法，讨论与生物数据和隐私相关的挑战。
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