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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...
5.7K
Phylogeny01:23

Phylogeny

43.7K
Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
43.7K
Phylogenetic Trees03:21

Phylogenetic Trees

45.3K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
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Synthetic Biology02:55

Synthetic Biology

4.7K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
4.7K
Neural Circuits01:25

Neural Circuits

1.1K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.1K
Molecular Models02:00

Molecular Models

38.1K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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相关实验视频

Updated: Jun 16, 2025

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.3K

phyddle:用于使用深度学习探索家族遗传模型的软件.

Michael J Landis1, Ammon Thompson2

  • 1Department of Biology, Washington University, St. Louis, MO, 63110, USA.

bioRxiv : the preprint server for biology
|August 16, 2024
PubMed
概括
此摘要是机器生成的。

遗传学模型现在使用phyddle软件的深度学习,克服了缺乏概率函数的传统方法的局限性. 这种方法准确地推断进化参数并选择模型,即使对于复杂的场景.

关键词:
深度学习是一种深度学习.神经网络的神经网络的神经网络人类遗传学是个学科.软件 软件 软件 软件 软件在统计模型中使用统计模型.

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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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相关实验视频

Last Updated: Jun 16, 2025

A Practical Guide to Phylogenetics for Nonexperts
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A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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科学领域:

  • 计算生物学 计算生物学
  • 进化生物学 进化生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 遗传学模型对于理解生命的多样性和进化历史至关重要.
  • 标准推理方法与缺乏可处理的概率函数的现实模型作斗争.
  • 无概率方法为复杂的遗传学建模提供了一个潜在的解决方案.

研究的目的:

  • 介绍phyddle,一个新的软件管道用于使用无概率的深度学习进行家族遗传建模.
  • 让深度学习融入进化研究工作流程.
  • 提供一种灵活的工具来分析家族遗传树.

主要方法:

  • 开发了phyddle,这是一个基于管道的软件,利用深度学习进行遗传学建模.
  • 实施了五步管道:模拟,格式,训练,估计和图表.
  • 基于深度学习的推断与传统基于概率的方法进行了比较.

主要成果:

  • 菲德尔准确地执行了遗传学推断任务,包括参数估计和模型选择.
  • 该软件成功地处理了缺乏可处理的概率函数的模型.
  • 基准指标在各种进化场景中表现出与基于概率的方法可比的准确性.

结论:

  • Phyddle提供了一个强大而灵活的替代品,用于遗传学建模,特别是复杂的模型.
  • 深度学习方法可以有效地解决传统遗传学推断中的局限性.
  • 菲德尔促进了先进的进化分析和模型探索.