When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data

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 Biocom...

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Detalles Bibliográficos
Autores principales: Gürsoy, Gamze, Harmanci, Arif, Tang, Haixu, Ayday, Erman, Brenner, Steven E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577606/
https://www.ncbi.nlm.nih.gov/pubmed/30864339
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author Gürsoy, Gamze
Harmanci, Arif
Tang, Haixu
Ayday, Erman
Brenner, Steven E.
author_facet Gürsoy, Gamze
Harmanci, Arif
Tang, Haixu
Ayday, Erman
Brenner, Steven E.
author_sort Gürsoy, Gamze
collection PubMed
description 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.
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spelling pubmed-75776062020-10-21 When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data Gürsoy, Gamze Harmanci, Arif Tang, Haixu Ayday, Erman Brenner, Steven E. Pac Symp Biocomput Article 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. 2019 /pmc/articles/PMC7577606/ /pubmed/30864339 Text en http://creativecommons.org/licenses/by/4.0/ Open Access chapter published by World Scientific Publishing Company and distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC) 4.0 License.
spellingShingle Article
Gürsoy, Gamze
Harmanci, Arif
Tang, Haixu
Ayday, Erman
Brenner, Steven E.
When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data
title When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data
title_full When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data
title_fullStr When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data
title_full_unstemmed When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data
title_short When Biology Gets Personal: Hidden Challenges of Privacy and Ethics in Biological Big Data
title_sort when biology gets personal: hidden challenges of privacy and ethics in biological big data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577606/
https://www.ncbi.nlm.nih.gov/pubmed/30864339
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