Gamze Gürsoy1, Arif Harmanci2, Haixu Tang3, Erman Ayday4, Steven E. Brenner5
1Computational Biology and Bioinformatics Program, Molecular Biophysics & Biochemistry, Yale University
2Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center
3School of Informatics, Computing and Engineering, Indiana University Bloomington
4Department of Electrical Engineering and Computer Science, Case Western Reserve University
5University of California Berkeley
Email: gamze.gursoy@yale.edu, arif.o.harmanci@uth.tmc.edu, hatang@indiana.edu, exa208@case.edu, brenner@compbio.berkeley.edu
Pacific Symposium on Biocomputing 24:386-390(2019)
© 2019 World Scientific
Open Access chapter published by World Scientific Publishing Company and distributed under the terms of the Creative Commons Attribution (CC BY) 4.0 License.
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.