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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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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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Human Genetics01:28

Human Genetics

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
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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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相关实验视频

Updated: Jan 13, 2026

In Vivo Modeling of the Morbid Human Genome using Danio rerio
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In Vivo Modeling of the Morbid Human Genome using Danio rerio

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基于单细胞树的基因组疾病关联模型.

Zhikang Liu, Yiyang Niu, Tian Le

    bioRxiv : the preprint server for biology
    |January 9, 2026
    PubMed
    概括

    我们开发了scanCT,这是一个基于树的新型框架,用于分析单细胞多omics数据. 该方法识别了与不同COVID-19临床表型相关的协同基因和蛋白质标记物组合.

    科学领域:

    • 单细胞多组体的单细胞多组体
    • 发现生物标志物的发现.
    • 计算生物学是一种计算生物学.

    背景情况:

    • 单细胞多组技术为疾病映射和生物标志物识别提供了高分辨率.
    • 目前的方法经常忽视基因组特征的组合相互作用,使表型分析复杂化.
    • 识别复杂的相互作用对于理解临床结果至关重要.

    研究的目的:

    • 介绍scanCT,一种基于树的框架,用于可解释地识别与疾病表型相关的基因组特征组.
    • 为了捕捉特征相互作用,并在单细胞数据中调整混因素.
    • 将scanCT应用于COVID-19多omics数据以发现生物标志物.

    主要方法:

    • 在数据驱动的分割选择中,scanCT使用基于树的框架,对数据驱动的分割选择进行无偏见的基于模型的变量选择.
    • 该架构捕捉了特征交互效应,使得组合生物标志物模式的分析成为可能.
    • 协会建模调整了诸如年龄和性别等混因素.

    主要成果:

    • 扫描CT应用于纵向单细胞多组COVID-19数据集.
    • 该框架确定了表型特定的基因和蛋白质标记物.
    • 揭示了可解释的协同标记组合,解释了临床表型变异.

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

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    In Vivo Modeling of the Morbid Human Genome using Danio rerio
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    In Vivo Modeling of the Morbid Human Genome using Danio rerio

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

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

    Published on: August 21, 2016

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    结论:

    • scanCT提供了一种强大且可解释的方法来分析单细胞多组数据.
    • 该框架有效地识别了驱动疾病表型的复杂生物标志物相互作用.
    • 这种方法促进了对COVID-19等复杂疾病的生物标志物发现.