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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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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
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Phylogenetic Trees03:21

Phylogenetic Trees

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Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
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Phylogeny01:23

Phylogeny

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Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
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Multiple Comparison Tests01:13

Multiple Comparison Tests

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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
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相关实验视频

Updated: Jun 28, 2025

A Practical Guide to Phylogenetics for Nonexperts
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A Practical Guide to Phylogenetics for Nonexperts

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非对称的基于集群的比较类遗传学的措施.

Sanket Wagle1, Alexey Markin2, Paweł Górecki3

  • 1Department of Computer Science, Iowa State University, Ames, Iowa, USA.

Journal of computational biology : a journal of computational molecular cell biology
|April 18, 2024
PubMed
概括
此摘要是机器生成的。

新的家族遗传成本,不对称的集群亲和 (CA) 成本和集群支持成本,解决了现有的树比较方法的局限性. 这些工具提供了对异构的家族遗传树的客观,细度评估.

关键词:
集群亲和力 集群亲和力罗宾逊发现了发现.遗传学树是一个遗传学树.它们是超级树,超级树.

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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12:00

A Practical Guide to Phylogenetics for Nonexperts

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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科学领域:

  • 进化生物学是进化的生物学.
  • 生物信息学是一种生物信息学.
  • 计算型的遗传学学.

背景情况:

  • 遗传学推断方法产生进化假设.
  • 树的比较成本,就像罗宾逊-福尔兹 (RF) 距离,评估这些假设,但有局限性.
  • 现有的集群亲和 (CA) 距离是对称的,不能比较异构树.

研究的目的:

  • 引入新的,不对称的树木对异构的基因树进行比较的成本.
  • 开发一个生物学上可解释的成本,根据集群大小进行正常化.
  • 提供客观,精细的尺度和可解释的值,以评估家族遗传树的差异.

主要方法:

  • 开发了一个不对称的集群亲和力 (CA) 成本,这是原始亲和力距离的放松.
  • 引入了一个集群支持成本,根据基因树的集群大小进行正常化.
  • 描述了高效的算法,并推导出用于成本标准化的确切直径.

主要成果:

  • 新的非对称CA成本和集群支持成本为异质树提供了更好的比较.
  • 这些成本提供了客观的,精细的和生物学上可解释的价值.
  • 标准化确保了植物遗传学分析的实际应用.

结论:

  • 不对称的CA成本和集群支持成本克服了对称和射频距离的局限性.
  • 这些新的成本提高了进化假设的评估,特别是基因树,物种树和家族遗传网络.
  • 开发的方法提供了强大的工具,用于比较不同的遗传学数据集.