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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?

7.1K
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
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

4.0K
The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent...
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相关实验视频

Updated: Jun 29, 2025

The Use of Mouse Splenocytes to Assess Pathogen-associated Molecular Pattern Influence on Clock Gene Expression
06:50

The Use of Mouse Splenocytes to Assess Pathogen-associated Molecular Pattern Influence on Clock Gene Expression

Published on: July 24, 2018

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ClockstaRX:用基因组数据测试分子钟假设

David A Duchêne1,2, Sebastián Duchêne3, Josefin Stiller4

  • 1Center for Evolutionary Hologenomics, University of Copenhagen, Copenhagen 1352, Denmark.

Genome biology and evolution
|March 25, 2024
PubMed
概括

时钟staRX是一个新的平台,用于分析基因组数据中的进化速率. 它有助于识别影响进化速度的关键基因组区域和分支,以便更好地分析分子钟.

关键词:
时间表staRR时间表staRR进化速度的进化速度是什么分子时钟的分子时钟.人类基因组学是什么?利率异质性的异质性

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Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters
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Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters

Published on: September 27, 2012

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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

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相关实验视频

Last Updated: Jun 29, 2025

The Use of Mouse Splenocytes to Assess Pathogen-associated Molecular Pattern Influence on Clock Gene Expression
06:50

The Use of Mouse Splenocytes to Assess Pathogen-associated Molecular Pattern Influence on Clock Gene Expression

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Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters
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Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters

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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

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科学领域:

  • 进化生物学 进化生物学
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 遗传学数据为进化速率和时间尺度提供了洞察力.
  • 分子时钟分析对于这些研究至关重要,但需要强大的统计工具.

研究的目的:

  • 推出ClockstaRX,这是一个灵活的平台,用于探索和测试生物基因组数据中的进化率信号.
  • 为了实现数据转换,可视化和对进化速率的假设测试.

主要方法:

  • 在Euclidean空间中跨基因树表示进化速率信息.
  • 实施正式的统计测试,以确定对利率变化的重要贡献者.
  • 使用模拟研究来指导数据探索和过策略.

主要成果:

  • 时钟staRX有助于识别具有重大影响进化速率变化的位置和分支.
  • 该平台有助于测试有关基因组进化速率驱动因素的假设.
  • 模拟结果为分析前数据处理提供了建议.

结论:

  • 时钟staRX 增强了类基因组数据集中的进化速率的分析.
  • 该平台支持假设测试,并为分子约会模型提供信息.
  • 推的数据探索技术提高了分子钟分析的可靠性.