EDU: Collaborative: Enhancing Education in Genetic Privacy with Integration of Research in Computer Science and Bioinformatics
EDU:协作:通过整合计算机科学和生物信息学研究来加强遗传隐私教育
基本信息
- 批准号:1523154
- 负责人:
- 金额:$ 14.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-15 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The era of personal genomics, where genetic information is ubiquitously available for research, clinical practice or personal curiosity, is quickly approaching. At the same time, there is a growing concern of genetic privacy and the existing educational resources are focused mostly on legal, regulatory or ethical issues in personal genomics. There is a substantial gap in educating genetic privacy and this project sets the following goals: (1) build the education framework for genetic privacy protection; (2) design genetic privacy course modules to be used in Computer Science or Bioinformatics; and (3) develop hands-on projects on privacy infringement and protection.The project provides a comprehensive set of education strategies in genetic privacy that are integrated with interdisciplinary research in the areas of data privacy and genetics/genomics. The integrative education framework for protecting genetic privacy for both genomic study participants and regular individuals with personal genomes available will utilize differential privacy and Bayesian network based attack modeling techniques. The course modules will include topics on genomic data analysis, genetic privacy breaching techniques, ethics, regulations, laws and pertinent techniques about genetic privacy protection. The project will develop a set of course projects that can be customized for the targeted audience.The project will develop and propagate open standards, technical guidelines, and education opportunities to promote the share and openness of genomic data for social good. A public web portal will serve as a hub for sharing tools, documentation, course materials, and tutorials. Through outreach to high school students and general public, the project expects to increase awareness of issues related to genetic privacy in managing and interpreting personal genomes.
个人基因组学的时代正在迅速到来,在这个时代,遗传信息无处不在地可用于研究、临床实践或个人好奇心。与此同时,人们对遗传隐私的关注越来越多,现有的教育资源大多集中在个人基因组学的法律、法规或伦理问题上。在遗传隐私教育方面存在着很大的差距,该项目设定了以下目标:(1)建立遗传隐私保护的教育框架;(2)设计用于计算机科学或生物信息学的遗传隐私课程模块;(3)开发关于隐私侵犯和保护的实践项目。该项目提供了一套全面的遗传隐私教育策略,这些策略与数据隐私和遗传学/基因组学领域的跨学科研究相结合。为基因组研究参与者和拥有个人基因组的普通个人保护遗传隐私的综合教育框架将利用差异隐私和基于贝叶斯网络的攻击建模技术。课程单元将包括关于基因组数据分析、遗传隐私侵犯技术、伦理、法规、法律和有关遗传隐私保护的相关技术的主题。该项目将开发一套可针对目标受众定制的课程项目。该项目将开发和宣传开放标准、技术指南和教育机会,以促进基因组数据的共享和开放,造福社会。公共门户网站将作为共享工具、文档、课程材料和教程的中心。通过与高中生和普通公众的接触,该项目希望在管理和解释个人基因组时提高对与遗传隐私有关的问题的认识。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Xinghua Shi其他文献
Bayesian Hyperparameter Optimization for Machine Learning Based eQTL Analysis
基于机器学习的 eQTL 分析的贝叶斯超参数优化
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Andrew Quitadamo;James Johnson;Xinghua Shi - 通讯作者:
Xinghua Shi
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds
边缘云联邦学习的联合参与者和学习拓扑选择
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:5.3
- 作者:
Xinliang Wei;Kejiang Ye;Xinghua Shi;Chengzhong Xu;Yu Wang - 通讯作者:
Yu Wang
Reaction induced elastoplastic deformation and interlayer cracking during oxidation in copper nanowires
铜纳米线氧化过程中反应诱导的弹塑性变形和层间开裂
- DOI:
10.1016/j.engfracmech.2025.111131 - 发表时间:
2025-05-27 - 期刊:
- 影响因子:5.300
- 作者:
Yulong Gong;Jici Wen;Qinghua Meng;Kai Zhang;Xinghua Shi - 通讯作者:
Xinghua Shi
Dynamics of An Archael DNA Polymerase Revealed By Single Molecule Fret
- DOI:
10.1016/j.bpj.2009.12.362 - 发表时间:
2010-01-01 - 期刊:
- 影响因子:
- 作者:
Xinghua Shi;Cheng Liu;Isaac K.O. Cann;Taekjip Ha - 通讯作者:
Taekjip Ha
The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Data-driven analytics in biomedical genomics
- DOI:
10.1186/s12920-020-00833-7 - 发表时间:
2020-12-28 - 期刊:
- 影响因子:2.000
- 作者:
Xinghua Shi;Zhongming Zhao;Kai Wang;Li Shen - 通讯作者:
Li Shen
Xinghua Shi的其他文献
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{{ truncateString('Xinghua Shi', 18)}}的其他基金
CAREER: Integrative Approaches to Uncovering Complex Genotype-Phenotype Relationships in High Dimensional Genomics Data
职业:揭示高维基因组数据中复杂基因型-表型关系的综合方法
- 批准号:
2001080 - 财政年份:2019
- 资助金额:
$ 14.99万 - 项目类别:
Continuing Grant
CAREER: Integrative Approaches to Uncovering Complex Genotype-Phenotype Relationships in High Dimensional Genomics Data
职业:揭示高维基因组数据中复杂基因型-表型关系的综合方法
- 批准号:
1750632 - 财政年份:2018
- 资助金额:
$ 14.99万 - 项目类别:
Continuing Grant
SCH: EXP: Collaborative Research: Preserving Privacy in Human Genomic Data
SCH:EXP:协作研究:保护人类基因组数据的隐私
- 批准号:
1502172 - 财政年份:2015
- 资助金额:
$ 14.99万 - 项目类别:
Standard Grant
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