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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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...
7.1K
What is Population Genetics?01:25

What is Population Genetics?

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A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
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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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Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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相关实验视频

Updated: Jun 16, 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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使用基因组数据对多种类型人口轨迹的贝叶斯系植物动力学推断.

Timothy G Vaughan1,2, Tanja Stadler1,2

  • 1Department of Biosystems Science and Engineering, ETH Zurich, Klingelbergstrasse 48, Basel 4056, Switzerland.

Molecular biology and evolution
|June 3, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的植物动力学方法,从遗传数据中推断出种群大小轨迹. 该方法揭示了详细的流行病动态,包括人类和驼MERS-CoV病例和传播事件.

关键词:
贝叶斯的家族遗传学流行病学流行病学颗粒过器的粒子过器植物动力学学.

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
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相关实验视频

Last Updated: Jun 16, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

15.8K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

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Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
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Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

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科学领域:

  • 计算生物学 计算生物学
  • 流行病学 流行病学
  • 进化生物学 进化生物学

背景情况:

  • 植物动力学方法分析遗传数据以推断种群参数.
  • 多种类型的出生死亡模型跟踪离散的特征,地理移动和疾病阶段.
  • 目前的方法整合了人口轨迹,限制了直接的人口推断.

研究的目的:

  • 从遗传数据直接推断多种类型的人口轨迹的植物动力学方法.
  • 为了能够估计特征特定的种群大小和人口数量.
  • 提高对流行病传播和宏观进化趋势的理解.

主要方法:

  • 基于多种类型的出生死亡模型开发了一种新的植物动力学方法.
  • 综合推断人口轨迹与现有参数估计.
  • 将该方法应用于中东呼吸综合征冠状病毒 (MERS-CoV) 基因组数据.

主要成果:

  • 成功推断了多种类型的人口轨迹,计算开销最小.
  • 随着时间的推移,量化了人类和驼的MERS-CoV病例.
  • 确定了从驼水库到人类的溢出数量和时间.

结论:

  • 这种新方法允许直接推断以前无法获得的人口数量.
  • 这种方法可以更深入地了解人口动态,而不仅仅是直接祖先的样本成员.
  • 在了解动物传播疾病的传播方面已证明有用,以MERS-CoV.为例.