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相关概念视频

Genomics02:02

Genomics

39.6K
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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Combinatorial Gene Control02:33

Combinatorial Gene Control

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Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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相关实验视频

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识别高维基因组因子调节生物网络跨多维基数据的多维基因组因子.

Samuel Anyaso-Samuel1, Shilan Li2, Giovanny Herrera Ossa1

  • 1Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, Maryland 20892, USA.

bioRxiv : the preprint server for biology
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概括

GFBioNet是一种新的计算方法,可以识别影响复杂网络中的生物特征相互作用的基因组因素. 这种工具有助于揭示跨多omics研究的生物网络的基因组架构.

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科学领域:

  • 基因组学就是基因组学.
  • 系统生物学 系统生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 生物特征在复杂的网络中相互作用,但基因组对这些相互作用的影响尚不清楚.
  • 了解这些相互作用对于破译生物系统至关重要.

研究的目的:

  • 引入GFBioNet,这是一种有效的计算方法,用于识别调节生物网络中特征关联的基因组因素.
  • 为了实现可扩展的分析高维的多omics数据,同时控制错误发现率 (FDR).

主要方法:

  • 一个两阶段的战略:1. 使用高斯图形模型进行基线网络估计. 2. 2. 2. 这是一个很棒的节目. 测试网络边缘的基因组因子调制 (特征-特征关系).
  • 显式控制错误发现率 (FDR) 进行可靠的发现.

主要成果:

  • 模拟证实了可靠的FDR控制和高统计能力.
  • GFBioNet确定了影响口腔微生物组网络的宿主遗传变异.
  • 发现肠道微生物可以调节结直肠癌中的代谢物网络.
  • 实体突变和副本数量的改变被证明在肺腺癌中重塑基因表达网络.

结论:

  • GFBioNet是一个多功能工具,用于揭示生物网络的基因组架构.
  • 该方法扩展了网络分析,以评估多omics研究中的特征-特征关系的修饰者.