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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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Survival Tree01:19

Survival Tree

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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相关实验视频

Updated: Jun 22, 2025

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

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一个基于机器学习的替代品,而不是遗传学启动程序.

Noa Ecker1, Dorothée Huchon2,3, Yishay Mansour4

  • 1The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.

Bioinformatics (Oxford, England)
|June 28, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的机器学习方法来估计家族遗传分支的支持,比传统方法 (如Felsenstein的引导) 提供更快,更准确的基于概率的值.

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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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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相关实验视频

Last Updated: Jun 22, 2025

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.3K
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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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

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科学领域:

  • 计算生物学 计算生物学
  • 人类遗传学 是一个学科.
  • 机器学习 机器学习

背景情况:

  • 在族系学分析中估计分支支持对于理解进化关系至关重要.
  • 目前的方法,如Felsenstein的引导,在速度和可解释性方面有局限性.

研究的目的:

  • 开发一个数据驱动的方法,以准确和快速估计基于概率的分支支值.
  • 改进现有的方法来评估家族遗传树的可靠性.

主要方法:

  • 模拟了成千上万个现实的家族遗传树和相应的多个序列对齐.
  • 使用最先进的软件推断了家族系,并将它们与真正的树木进行了比较.
  • 在模拟数据上训练机器学习算法,以预测最大概率树的分支支值.

主要成果:

  • 与常用的程序相比,开发的机器学习模型提供了更快,更准确的基于概率的分支支持值.
  • 该方法证明了在经验数据集上的适用性.

结论:

  • 新的机器学习方法在估计族系学分支支持方面取得了重大进展.
  • 这种方法提高了家族遗传树解释的准确性和速度.