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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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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
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基于零模型的网络比较揭示了核心关联.

Lisa Röttjers1, Doris Vandeputte1,2, Jeroen Raes1,2

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概括
此摘要是机器生成的。

我们开发了anuran,一个使用零模型分析杂微生物协会网络的工具箱. 它识别了保存的核心关联网络 (CAN),在各种条件下揭示了微生物生态中的非随机模式.

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科学领域:

  • 微生物生态学 微生物生态学
  • 生物信息学是一种生物信息学.
  • 网络分析 网络分析

背景情况:

  • 微生物网络的构建在微生物生态学中至关重要,但通常依赖于推断的关联,导致不准确.
  • 微生物协会网络的现有方法容易出现错误,可能无法准确地代表真正的生态相互作用或社区结构.

研究的目的:

  • 引入"anuran",这是一个新的工具箱,用于使用零模型调查杂的微生物网络.
  • 为了能够在多个微生物网络中识别保存的子集 (核心关联网络,CAN) 和共享的网络属性.

主要方法:

  • 开发"anuran"工具箱,结合零模型来根据随机关联假设生成数据.
  • 应用零模型来识别协会网络组中的非随机模式.
  • 对多个网络进行比较,以检测保存的核心关联网络 (CAN) 和共享属性.

主要成果:

  • 从20名女性的便样本的时间序列中证明了CANs的存在,突出了个体中保存的微生物模式.
  • 利用来自全球海绵项目的数据表明,海绵序列表现出大于随机的CAN,表明微生物协会得到保护.
  • 验证了"anuran"在识别保存的微生物网络结构中的有效性.

结论:

  • "anuran"工具箱提供了一种可靠的方法,用于在各种条件,时间序列,梯度或宿主中比较微生物网络.
  • 基于零模型的分析显著提高了微生物网络解释的可靠性,超越了简单的统计学关联.
  • 核心协会网络 (CAN) 的识别为稳定的微生物社区结构提供了有价值的见解.