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相关概念视频

Phylogenetic Trees03:21

Phylogenetic Trees

45.5K
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.
45.5K
Phylogeny01:23

Phylogeny

44.4K
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.
44.4K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.2K
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...
7.2K
Speciation Rates01:07

Speciation Rates

21.3K
Overview
21.3K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
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...
5.8K
Convergent Evolution01:54

Convergent Evolution

27.9K
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
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相关实验视频

Updated: Jul 18, 2025

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

Published on: August 14, 2018

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科希过程在类学上:脉冲进化的可追踪模型.

Paul Bastide1, Gilles Didier1

  • 1IMAG, Université de Montpellier, CNRS, Montpellier, France.

Systematic biology
|August 21, 2023
PubMed
概括

遗传学比较方法现在具有Cauchy过程 (CP) 的精确算法,这是一个Lévy过程模型. 这种方法准确地推断出进化模式和祖先特征,为复杂模型提供了计算效率高的替代方案.

科学领域:

  • 进化生物学是进化的生物学.
  • 人类遗传学 是一个学科.
  • 计算生物学是一种计算生物学.

背景情况:

  • 遗传学比较方法使用诸如布朗运动之类的随机过程来模型特征进化.
  • 非渐进进化需要复杂的模型,通常是莱维过程,但它们的推理是计算密集的.
  • 复杂模型的现有方法依赖于近似,高维抽样或数值集成.

研究的目的:

  • 介绍Cauchy过程 (CP) 的一个精确的算法,一个纯跳跃的Lévy过程,用于家族遗传学比较分析.
  • 为了能够在CP下对特征演变进行有效的统计推断,包括联合概率密度和祖先特征重建.
  • 提供一个计算上可行和准确的方法来建模脉冲或非渐进的进化模式.

主要方法:

  • 开发了一个精确的算法来计算在CP下尖端特征值的联合概率密度.
  • 计算祖先特征值的后密度和二进制时间的分支增量的衍生方法.
  • 在C语言中使用R接口 (包"cauphy") 实现算法.

主要成果:

  • 与高斯过程相比,CP产生了不同的进化模式.
  • 限制最大概率参数估计和根特征重建对于高达200个尖端的树来说是公正和准确的.
  • CP模型可以重建多模式后方祖先特征分布,反映进化不确定性.
关键词:
考契过程中的考契过程.这是一个进化的进化论.跳跃 跳跃 跳跃 跳跃遗传学上的比较方法.植物地理学 植物地理学定量特征 定量特征 定量特征 定量特征

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A Practical Guide to Phylogenetics for Nonexperts
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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相关实验视频

Last Updated: Jul 18, 2025

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

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

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

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结论:

  • 考西过程提供了一种计算效率高且在统计学上可靠的方法,用于建模复杂的,非渐进的特征进化.
  • 开发的精确算法提供了准确的参数估计和祖先状态重建.
  • "cauphy" R 套件有助于将 CP 应用于进化生态学和病毒学中的各种数据集.