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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

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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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Convergent Evolution01:54

Convergent Evolution

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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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Evolutionary Psychology01:20

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Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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Spearman's Rank Correlation Test01:20

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Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
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Kendall's Coefficient of Concordance01:20

Kendall's Coefficient of Concordance

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Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects...
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相关实验视频

Updated: Jun 25, 2025

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

Published on: February 3, 2023

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进化结构保护和共变得分的进化结构.

Florian Eggenhofer1, Christian Höner Zu Siederdissen2,3,4

  • 1Bioinformatics Group, Department of Computer Science University of Freiburg, Freiburg, Germany.

Methods in molecular biology (Clifton, N.J.)
|May 23, 2024
PubMed
概括

对非编码RNA的同质性搜索通常需要超越序列相似性的进化信息. 本章解释了进化结构的保存和共变性得分,用于识别远方同类物.

关键词:
协差模型中的协差模型.多个序列对齐的调整.RNA家族是RNA家族的一个组成部分.二级结构是次要结构.没有监督的模型建设.

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相关实验视频

Last Updated: Jun 25, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 仅仅使用序列相似性,对非编码RNA (ncRNA) 的同质性搜索具有挑战性.
  • 遗传学上遥远的ncRNA同类物需要采用包含进化信息的方法.
  • 结构保护和共变度得分提供了宝贵的进化见解.

研究的目的:

  • 介绍进化结构保护和共变性得分的理论基础.
  • 展示当前ncRNA同质性搜索方法的实际应用.
  • 为分析示例数据集提供实践经验.

主要方法:

  • 理论概念的回顾:进化结构的保存和共变性得分.
  • 应用已建立的计算方法来检测ncRNA同质性.
  • 分析示例数据集以说明方法性能.

主要成果:

  • 了解基于结构和基于共差的同质检测的理论基础.
  • 将这些方法应用于真实生物数据的实践演示.
  • 对在不同物种中识别保存的非编码RNA的洞察力.

结论:

  • 进化信息,特别是结构和共变量,对于有效的ncRNA同质性搜索至关重要.
  • 目前的方法为发现遥远的ncRNA同类提供了强大的工具.
  • 实践应用提高了这些生物信息技术的理解和实用性.