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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.1K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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相关实验视频

Updated: May 11, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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利用可信执行环境和分布式计算来进行基因组关联测试.

Claudia V Brito, Pedro G Ferreira, Joao T Paulo

    IEEE journal of biomedical and health informatics
    |April 18, 2025
    PubMed
    概括

    吉奥萨通过使用可信执行环境 (TEE) 来增强全基因组关联研究 (GWAS) 的基因组数据隐私. 这种安全解决方案允许对在不可信赖的云基础设施上的敏感基因组数据进行机密分析.

    科学领域:

    • 基因组学就是基因组学.
    • 生物信息学是一种生物信息学.
    • 计算机科学 计算机科学

    背景情况:

    • 由于测序技术的进步,基因组数据分析正在迅速扩大.
    • 在云平台上分析敏感的基因组数据引发了严重的隐私问题.
    • 现有的解决方案往往缺乏对外包计算的强有力的隐私保护机制.

    研究的目的:

    • 介绍Gyosa,一个新的安全和保护隐私的基因组分析分布式解决方案.
    • 允许对全基因组关联研究 (GWAS) 的保密委托给不可信赖的基础设施.
    • 为了减少可信执行环境 (TEE) 中的计算开销,同时保持数据隐私.

    主要方法:

    • 利用可信执行环境 (TEE) 进行安全的计算.
    • 实施计算分区方案以最大限度地减少 TEE 工作负载.
    • 将安全方案集成到分布式GWAS的Glow框架中.
    • 使用实验评估来评估性能和安全性.

    主要成果:

    • 吉奥萨为分布式基因组分析提供了一个安全和保护隐私的框架.
    • 计算分区方案有效降低了TEE的负担.
    • 该解决方案与Glow平台无集成,支持各种GWAS.

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    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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    相关实验视频

    Last Updated: May 11, 2025

    Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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    Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

    Published on: August 21, 2016

    12.9K
    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
    08:03

    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

    Published on: December 7, 2021

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    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
    05:53

    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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  • 实验结果证明了Gyosa的适用性,可扩展性和增强的安全性.
  • 结论:

    • 吉奥萨为安全和机密的外包基因组数据分析提供了可行的解决方案.
    • 该系统有效地平衡了安全性,隐私和计算效率.
    • 吉奥萨促进了对敏感基因组研究的云计算的更广泛采用.