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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...
7.2K
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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Gradient and Del Operator01:14

Gradient and Del Operator

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In mathematics and physics, the gradient and del operator are fundamental concepts used to describe the behavior of functions and fields in space. The gradient is a mathematical operator that gives both the magnitude and direction of the maximum spatial rate of change. Consider a person standing on a mountain. The slope of the mountain at any given point is not defined unless it is quantified in a particular direction. For this reason, a "directional derivative" is defined, which is a vector...
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Genetic Drift03:33

Genetic Drift

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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
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相关实验视频

Updated: Jul 28, 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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自动差异化并不是植物遗传梯度计算的万能药.

Mathieu Fourment1, Christiaan J Swanepoel2,3, Jared G Galloway4

  • 1Australian Institute for Microbiology and Infection, University of Technology Sydney, Ultimo, NSW, Australia.

Genome biology and evolution
|June 2, 2023
PubMed
概括
此摘要是机器生成的。

自动差异化比专门的方法要慢,因为它对遗传学概率梯度有很大影响. 使用基因和机器学习图书馆的综合方法提供了最佳的性能和灵活性.

关键词:
贝叶斯的推理 贝叶斯的推理梯度梯度是指一个梯度.人类遗传学是个学科.变化推理推理是变化的推理.

更多相关视频

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

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Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
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Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

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相关实验视频

Last Updated: Jul 28, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

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A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

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Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

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科学领域:

  • 计算统计学 计算统计学
  • 机器学习 机器学习
  • 人类遗传学 是一个学科.

背景情况:

  • 概率模型概率的梯度对于计算统计和机器学习至关重要.
  • 像TensorFlow和PyTorch这样的库中的自动差异化 (AD) 提供了一般的梯度计算.
  • 与专业代码相比,AD在特定的遗传学任务中的效率尚未得到充分证实.

研究的目的:

  • 为了比较自动区分的性能与植物遗传学特定的梯度实现.
  • 为了评估梯度计算速度和可扩展性在类遗传概率函数的背景下.
  • 评估梯度计算对遗传学变异推理程序的影响.

主要方法:

  • 实施并比较了六种不同的梯度计算方法,用于基因概率函数.
  • 独立地和在变化推理框架内对实施方案进行评估.
  • 根据计算速度和树大小的可扩展性来评估性能.

主要成果:

  • 自动差异化与树的大小差不多是线性的.
  • 对于树概率和比率转换的专业梯度计算比AD快得多.
  • 由于AD的通用性,这些特定的遗传学操作的性能会变慢.

结论:

  • 建议采用混合方法,将专业的族系图书馆与一般的机器学习图书馆相结合.
  • 这种混合策略平衡了计算速度与复杂的遗传学建模所需的灵活性.
  • 未来的进步应该利用专业和通用工具的优势.