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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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Genetic Variation01:25

Genetic Variation

282
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
282
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,...
15.1K
Variability: Analysis01:11

Variability: Analysis

143
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
143
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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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Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.4K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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相关实验视频

Updated: Jul 1, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

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PySNV用于复杂的宿主内部变异检测.

Liandong Li1, Haoyi Fu1,2, Wentai Ma1,2

  • 1Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing 100101, China.

Bioinformatics (Oxford, England)
|March 1, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了PySNV,这是一个新工具来检测复杂的宿主内部变异,包括长期的indels和低频突变,在病原体和瘤进化研究的准确性和一致性方面超过现有的软件.

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Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
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Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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科学领域:

  • 遗传学 是一个遗传学.
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 主体内变异是生物体内的遗传变异,对于理解病原体进化和癌症等疾病的体质突变至关重要.
  • 识别复杂的宿主内部变异,如长插入/删除和混合突变类型,仍然是一个重大挑战.
  • 目前在复杂的宿主内部变种上,变种检测软件的性能基本上是未知的.

研究的目的:

  • 评估现有的变种检测软件在复杂的宿主内部变种上的性能.
  • 开发一种新的计算工具,PySNV,用于准确有效地检测复杂的宿主内部变异.
  • 在模拟和真实世界的测序数据上验证PysNV的性能,包括SARS-CoV-2.

主要方法:

  • 模拟了一个数据集,其中有1869个宿主内部变异,表现出各种突变模式.
  • 与模拟数据集对比现有的变种检测软件.
  • 开发了PySNV,这是一个用于复杂主机内部变种检测的新软件工具.
  • 在模拟数据和SARS-CoV-2复制序列数据上验证了PySNV.

主要成果:

  • 现有的软件在检测长时间的indel和低频变体方面表现有限.
  • 在模拟数据上,PySNV获得了0.99 F1分数和0.99 皮尔森相关系数,准确地检测了复杂变异.
  • 在SARS-CoV-2数据上,PySNV发现的变异数量比最佳基准软件 (LoFreq) 更多21%,一致性得到改善.

结论:

  • 在检测复杂的宿主内部变异方面,PySNV表现出卓越的性能,包括低频和长时间的indel突变.
  • 该工具提供了高精度和一致性,在模拟和真实测序数据上表现优于当前的方法.
  • PySNV为推动病原体进化,瘤生物学和其他研究宿主内遗传多样性的领域的研究提供了强大的解决方案.