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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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Incomplete Dominance01:43

Incomplete Dominance

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Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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Gene Evolution - Fast or Slow?02:05

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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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相关实验视频

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In Vivo Modeling of the Morbid Human Genome using Danio rerio
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在使用自组织地图的非模型物种中缺少基因型归因.

Fernando Mora-Márquez1, Juan Carlos Nuño2, Álvaro Soto1

  • 1GI en Especies Leñosas (WooSp), Dpto. Sistemas y Recursos Naturales, ETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de Madrid, Ciudad Universitaria, Madrid, Spain.

Molecular ecology resources
|July 6, 2024
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概括

本研究引入了一种使用非模型生物的自我组织地图 (SOM) 的新型基因型归算方法. 该 gtImputation 工具准确地填补缺少的单核酸多态 (SNP) 数据,优于现有的算法.

关键词:
通过SNP基因定型进行SNP基因定型一些东西,有些东西.归算是指指责一个人的行为.机器学习是机器学习.缺失的数据 缺失的数据

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
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Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 机器学习 机器学习

背景情况:

  • 全基因组单核酸多态 (SNP) 基因型定型产生了大量缺失的数据,影响了统计分析.
  • 现有的基因型归算方法往往需要对非模型生物体无法使用的参考面板.

研究的目的:

  • 使用机器学习开发和验证一种用于非模型生物的新型基因型归算方法.
  • 为了应对SNP中缺少数据的挑战,对缺乏参考面板的物种进行基因定型.

主要方法:

  • 基于一种神经网络类型的自我组织地图 (SOM) 的新型归算方法被开发出来.
  • 该方法选择SNP位点,创建二进制向量,并训练神经网络以估计缺失的基因型.
  • 实现了一个带有GUI的开源Python应用程序, gtImputation,以自动化归算过程.

主要成果:

  • 基于SOM的归算方法在基准数据集中表现出高准确度和精度.
  • 这种方法有效地归因于具有低频异位基因的SNP的基因型.
  • gtImputation的性能优于其他归算算法,特别是在非相关个体的混合群体中.

结论:

  • 拟议的基于SOM的方法为非模型生物体的基因型归算提供了可靠的解决方案.
  • gtImputation提供了一个准确且易于使用的工具,用于解决基因组研究中缺失的数据.
  • 这一进步有助于在缺乏参考面板的多种物种下游分析.