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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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ProHap Explorer:可视化蛋白质基因组数据集中的哈普类型

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    此摘要是机器生成的。

    ProHap Explorer可视化了遗传变异 (哈普型) 如何影响人类蛋白质,在质谱数据中揭示了非正规. 这个工具通过探索蛋白质基因组变异来帮助个性化医学.

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    科学领域:

    • 蛋白质组学是指蛋白质组学.
    • 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:

    • 基于质谱的蛋白质组学通常使用单一的参考序列,忽略了类型的影响.
    • 杂型,遗传遗传变异的组合,可以改变蛋白质序列及其检测.
    • 现有的工具无法充分可视化常见的单质类型对蛋白质组数据的影响.

    研究的目的:

    • 介绍ProHap Explorer,这是一个新的可视化界面,用于探索人类蛋白质组上的单元型效应.
    • 为了使用户能够调查常见的单元类型如何影响蛋白质序列,并识别非正规的.
    • 为了支持在质谱数据集中蛋白质基因组变异的分析.

    主要方法:

    • 开发ProHap Explorer,这是一个用户友好的界面,用于可视化蛋白质基因组数据.
    • 集成已建立的生物序列分析表征与交互元素.
    • 通过与蛋白质组学专家的用户访谈进行测试和验证.

    主要成果:

    • ProHap Explorer有助于探索类型和它们对蛋白质序列的影响.
    • 该工具有助于识别公共质谱数据集中的非正规.
    • 用户反证实了ProHap Explorer在评估对感兴趣的蛋白质的哈普类型影响方面的实用性.

    结论:

    • ProHap Explorer提供了一个直观的平台来探索蛋白质基因组变异.
    • 该工具增强了对基于质谱的蛋白质组学中单 haplotype 影响的理解.
    • ProHap Explorer支持个性化医学的进步和向治疗的发展.