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相关概念视频

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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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相关实验视频

Updated: Nov 30, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

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数据清理以减少功能基因组学中的私人信息泄露

Gamze Gürsoy1, Prashant Emani1, Charlotte M Brannon1

  • 1Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.

Cell
|November 13, 2020
PubMed
概括

研究人员开发了一种数据清理程序, 以共享功能性基因组数据, 尽量减少隐私风险. 这使得更广泛的数据共享能够提高研究可复制性和统计能力,同时保护参与者的隐私.

关键词:
在RNA-seq数据消毒功能性基因组学基因组隐私连接攻击隐藏的DNA测序

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Rare Event Detection Using Error-corrected DNA and RNA Sequencing

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Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

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相关实验视频

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科学领域:

  • 基因组学
  • 生物信息学
  • 计算生物学

背景情况:

  • 功能基因组学数据集正在迅速扩大,为基因调节和生物体表型提供了洞察力.
  • 这些研究中的下一代测序引发了隐私问题,限制了广泛的数据共享.
  • 现有的受控访问模型阻碍了对统计能力和可重复性至关重要的原始数据的共享.

研究的目的:

  • 为共享原始功能基因组的数据清理程序.
  • 尽量减少隐私泄露,
  • 促进更广泛的功能基因组数据共享.

主要方法:

  • 为原始功能基因组阅读开发了一种新型数据清理协议.
  • 该程序通过统计将研究参与者与已知的个人联系起来来量化隐私泄露.
  • 使用高精度参考基因组和环境样本进行了链接分析.

主要成果:

  • 数据清理程序有效地减少了功能基因组学读取的隐私泄露.
  • 该方案与传统的Illumina测定和先进的10x单细胞RNA测序兼容.
  • 该方法允许平衡隐私保护和数据的研究用途.

结论:

  • 功能性基因组数据的新方法允许更广泛的共享.
  • 这种方法解决了与下一代测序数据相关的隐私问题.
  • 开发的协议支持增强研究可重复性和统计能力.