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相关概念视频

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Genome Copying Errors02:46

Genome Copying Errors

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DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
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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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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
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DNA as a Genetic Template02:05

DNA as a Genetic Template

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Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...
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Parametric Survival Analysis: Weibull and Exponential Methods

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Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
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相关实验视频

Updated: Jul 14, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
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Detection of Copy Number Alterations Using Single Cell Sequencing

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一个半参数贝叶斯模型,用于比较DNA拷贝数.

Luis Nieto-Barajas1, Yuan Ji2, Veerabhadran Baladandayuthapani3

  • 1Department of Statistics, ITAM, Rio Hondo 1, Progreso Tizapan, 01080 Mexico, D.F. Mexico.

Brazilian journal of probability and statistics
|October 6, 2023
PubMed
概括

这项研究引入了一种新的两步贝叶斯方法,用于分析基因组复制号数据. 该方法识别了疾病亚型中的不同拷贝数区域,改进了癌症亚型分析.

关键词:
贝叶斯的非参数.迪里克莱特工艺混合物模型模型不同的尖峰和板块之前之前的板块.循环的二进制细分循环的二进制细分.相对基因组杂交的比较基因组杂交随机效应是一种随机效应.

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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

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Understanding the Impact of Temperate Bacteriophages on Their Lysogens Through Transcriptomics
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科学领域:

  • 基因组学就是基因组学.
  • 统计遗传学 统计遗传学
  • 生物信息学是一种生物信息学.

背景情况:

  • 拷贝数变化 (CNAs) 在癌症发展中至关重要.
  • 在各种疾病亚型中分析CNA数据带来了统计方面的挑战.
  • 现有的方法可能无法完全捕捉特定亚型和特定样本的变化.

研究的目的:

  • 开发一个强大的统计框架,用于分析多种疾病亚型中的副本数数据.
  • 在疾病亚型中识别具有不同拷贝数的基因组区域.
  • 为了考虑副本数量的变化中特定的亚型和样本的变化.

主要方法:

  • 一种两步分析方法.
  • 基因组异常的分割.
  • 一个半参数贝叶斯模型,包含随机效应混合模型.
  • 混合物组件的迪里克莱特工艺先验. 混合物组件.

主要成果:

  • 拟议的模型有效地分析来自多个样本和疾病亚型的副本数数据.
  • 它成功地识别了疾病亚型中不同拷贝数的区域.
  • 该模型解释了同一疾病亚型内的样本间的变异性.

结论:

  • 新的贝叶斯方法为了解复杂疾病中的基因组变化提供了一个强大的工具.
  • 这种方法增强了特定亚型的基因组特征的识别.
  • 该方法在模拟数据和乳腺癌数据集上得到验证.