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相关概念视频

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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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 Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Genetic Variation01:25

Genetic Variation

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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,...
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Position-effect Variegation02:32

Position-effect Variegation

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In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
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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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相关实验视频

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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用于研究基因组结构变异的计算工具

Xingyu Chen1,2, Siyu Wei2, Chen Sun2

  • 1Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Kay Laboratory of Quality Research in Chinese Medicine & Faculty of Chinese Medicine, Macau University of Science and Technology, Taipa, China.

Omics : a journal of integrative biology
|February 5, 2025
PubMed
概括

本综述列出了175种用于检测和分析人类DNA结构变异 (SV) 的计算工具. 它帮助研究人员选择最佳工具,以推进基因组研究和了解影响地球健康的疾病.

关键词:
计算生物学是计算生物学.计算工具是计算工具.基因组 基因组是基因组的组成部分.这是下一代测序.欧米克斯数据分析数据分析结构变化的结构变化.

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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:

  • 结构变异 (SV) 是影响人类健康和疾病的DNA变异.
  • 测序技术的进步为SVs提供了新的见解.
  • 目前存在各种各样的SV检测和分析工具,这给研究人员带来了挑战.

研究的目的:

  • 审查和编目结构变异分析的计算工具.
  • 总结 SV 工具的特点,优势和局限性.
  • 引导研究人员选择人类基因组学研究的最佳工具.

主要方法:

  • 在过去二十年中开发的175种工具的系统审查.
  • 基于功能 (检测,注释,可视化,下游分析) 的工具分类.
  • 分析不同测序技术平台 (短读,长读) 的工具.

主要成果:

  • 介绍了175个与SV相关的计算工具的全面目录.
  • 总结了每个工具的特性,优势和局限性.
  • 工具根据其应用和与各种测序技术的兼容性进行组织.

结论:

  • 有效选择 SV 工具对于推进基因组研究至关重要.
  • 这一审查有助于加速系统科学和行星健康创新.
  • 该目录是研究人员研究人类基因组学结构变异的宝贵资源.