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EpiVar浏览器:在受控访问下对表观遗传学数据进行高级探索
David R Lougheed1,2,3, Hanshi Liu2,3,4, Katherine A Aracena5
1Canadian Centre for Computational Genomics, McGill University, Montreal, QC, Canada.
bioRxiv : the preprint server for biology
|August 14, 2023
概括
研究人员开发了EpiVar浏览器来探索表观遗传学数据,使基因型-染色质表型关系能够在不释放可识别信息的情况下进行. 这个工具有助于安全共享敏感的表观基因组数据集.
科学领域:
- 基因组学和表观基因组学
- 计算生物学 计算生物学
- 数据 隐私 数据 隐私 数据
背景情况:
- 大规模的人类表观基因组数据集对于理解正常和疾病染色体状态至关重要.
- 表观遗传数据,就像遗传数据一样,包含潜在的可识别信息,需要受控的访问.
- 安全共享有价值的表观基因组数据集是必不可少的,但由于隐私问题而具有挑战性.
结论:
- 该EpiVar浏览器提供了一个可通用的策略,负责访问敏感的表观遗传学数据.
- 促进安全共享和分析有价值的表观基因组数据集.
- 使研究人员能够高效安全地审问基因型-表观基因组相互作用.
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