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相关概念视频

Genetic Variation01:25

Genetic Variation

241
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,...
241
Variability: Analysis01:11

Variability: Analysis

116
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...
116
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.6K
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...
5.6K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

16.8K
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%...
16.8K
Exon Recombination02:32

Exon Recombination

3.5K
The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
Exon shuffling follows “splice frame rules.” Each exon...
3.5K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

57.6K
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).
57.6K

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相关实验视频

Updated: May 15, 2025

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.4K

使用exvar进行高效和简单的基因表达和遗传变异数据分析和可视化.

Hiba Ben Aribi1, Imraan Dixon2, Najla Abassi3

  • 1Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia. benaribi.hiba@gmail.com.

Scientific reports
|April 10, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了exvar,这是一款易于使用的R包,简化了RNA测序分析,用于基因表达和变异调用. 它整合了多种工具,使得基因组数据更容易进行跨物种的分析和可视化.

关键词:
在CNVs中,可以看到CNVs.这是Exvar Exvar.基因表达 基因表达在Indelsels中,我们可以看到.在R包中,R包是R包.国家统一计划 (SNP) 是一个国家统一计划.变种调用调用变种.

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Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
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Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

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相关实验视频

Last Updated: May 15, 2025

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.4K
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

2.6K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

10.9K

科学领域:

  • 基因组学就是基因组学.
  • 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:

  • RNA测序 (RNA-seq) 数据分析是复杂的,需要专门的技能和工具.
  • 现有的工作流程给研究人员带来了挑战,需要集成和用户友好的解决方案.
  • 基因组数据分析和可视化工具对于推动生物研究至关重要.

研究的目的:

  • 开发一种新的R包,简化RNA测序数据分析.
  • 整合基因表达分析和遗传变异调用功能.
  • 为基因组数据提供用户友好的数据可视化工具.

主要方法:

  • 开发了一个新的R包",exvar",利用现有的CRAN和生物导体包.
  • 实现了用于基因表达分析和从RNA-seq数据调用遗传变异的功能.
  • 在R包内集成了三个数据可视化闪亮的应用程序.

主要成果:

  • "exvar"包成功执行基因表达分析和遗传变异调用.
  • 使用多个公共RNA-seq数据集在各种物种中验证了管道.
  • 该包提供集成的数据分析和可视化功能.

结论:

  • "exvar" R包为RNA-seq数据分析提供了一种简化和集成的解决方案.
  • 它提高了更广泛的研究社区对复杂的基因组数据分析的可访问性.
  • 该包支持多种类分析,增加其实用性和适用性.