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相关概念视频

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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Synthetic Biology02:55

Synthetic Biology

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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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相关实验视频

Updated: Jun 21, 2025

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

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在罕见疾病研究中开发开放软件的合成数据集.

Ibraheem Al-Dhamari1,2, Hammam Abu Attieh3, Fabian Prasser3

  • 1Medical Informatics Group, Berlin Institute of Health at Charité - Universitätsmedizin, Berlin, Germany. ibraheem@uni-koblenz.de.

Orphanet journal of rare diseases
|July 15, 2024
PubMed
概括

研究人员开发了SynthMD,这是一个开源工具,可以生成合成罕见疾病数据集. 这有助于开发数据共享方法,并通过提供系统测试的关键数据来改善罕见疾病研究.

关键词:
发展发展发展 发展发展评价 评价 评价罕见疾病是一种罕见的疾病.统计 统计 统计 统计综合数据 综合数据

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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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相关实验视频

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A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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科学领域:

  • 生物医学信息学 生物医学信息学
  • 计算生物学 计算生物学
  • 健康 数据科学 数据科学

背景情况:

  • 提高罕见病数据的可用性对于研究至关重要.
  • 数据共享方法受到罕见疾病数据的独特敏感性挑战.
  • 罕见疾病研究发展的方法和数据存在差距.

研究的目的:

  • 弥合罕见病数据可用性的差距.
  • 为开发数据共享方法提供合成数据集.
  • 为在罕见疾病研究方面取得进展奠定基础.

主要方法:

  • 采用了层次化的数据生成方法.
  • 利用了美国人口普查局和疾病预防控制中心的公开统计数据.
  • 用Python实现的开源软件SynthMD用于数据生成.

主要成果:

  • 针对状细胞病,囊性纤维化和杜申肌肉衰竭产生了三组合成数据集.
  • 这些数据集反映了美国人口统计和特定疾病的统计数据.
  • 生成的数据集和源代码以开放数据和开源软件的形式提供.

结论:

  • 合成数据集可以启动用于罕见疾病数据的方法和平台的开发.
  • 应用包括测试信息系统和增强隐私的技术.
  • 这项工作支持研究人员和开发人员推进罕见疾病数据的可访问性.