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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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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
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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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Incomplete Dominance01:43

Incomplete Dominance

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Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Gene Flow02:39

Gene Flow

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Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
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相关实验视频

Updated: Jun 15, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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用量子步行对疾病基因进行优先排序.

Harto Saarinen1,2, Mark Goldsmith1,2, Rui-Sheng Wang3

  • 1Algorithmiq Ltd, FI-00160 Helsinki, Finland.

Bioinformatics (Oxford, England)
|August 22, 2024
PubMed
概括

我们引入了一种用于疾病基因优先级的新型量子步行算法,在识别与疾病相关的基因方面表现优于传统方法. 这种方法利用蛋白质-蛋白质相互作用网络来增强生物发现.

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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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科学领域:

  • 计算生物学是一种计算生物学.
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 疾病基因优先排序方法使用种子基因识别疾病的相关基因.
  • 经典的随机步行方法是有效的,但量子步行方法仍然未被用于此任务.

研究的目的:

  • 提出和评估一种使用连续时间量子步行的新型疾病基因优先级算法.
  • 评估量子步行方法的性能与已建立的基因优先级技术相比.

主要方法:

  • 开发了一种基于连续时间量子步行的疾病基因优先级的新算法.
  • 利用了蛋白质与蛋白质相互作用 (PPI) 网络的相邻矩阵.
  • 将量子步行方法与现有算法进行比较,使用多种疾病和PPI网络数据集的交叉验证.
  • 使用回忆和平均精度的平均相互等级来评估性能.

主要成果:

  • 拟议的量子步行方法与几种众所周知的基因优先级方法相比,显示出具有竞争力或优异的性能.
  • 通过对冠状动脉疾病的丰富分析进行验证,支持了该方法的预测能力.
  • 这项研究为生物信息学中的一个重大问题提供了一种新的基于量子的方法.

结论:

  • 连续时间量子步行为疾病基因优先排序提供了一个有希望的新途径.
  • 开发的算法有效地识别了生物相关的基因,推进了精准医学领域.
  • 数据和代码的开放可用性有助于进一步的研究和应用.