Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Phylogenetic Trees03:21

Phylogenetic Trees

49.1K
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.
49.1K
Phylogeny01:23

Phylogeny

56.6K
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.
56.6K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.8K
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...
6.8K
Speciation Rates01:07

Speciation Rates

22.5K
Overview
22.5K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.9K
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...
7.9K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.4K
3.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Generalizing Matrix Representations to Fully Heterochronous Ranked Tree Shapes.

Bulletin of mathematical biology·2026
Same author

Efficient Bayesian phylogenetics under the infinite sites model.

Genetics·2026
Same author

Generalizing matrix representations to fully heterochronous ranked tree shapes.

ArXiv·2025
Same author

An efficient coalescent model for heterochronously sampled molecular data.

Journal of the American Statistical Association·2025
Same author

Accounting for reporting delays in real-time phylodynamic analyses with preferential sampling.

PLoS computational biology·2025
Same author

Geospatial and demographic patterns of SARS-CoV-2 spread in Massachusetts from over 130,000 genomes.

medRxiv : the preprint server for health sciences·2025
Same journal

A human-specific genetic modifier reconfigures large-scale cortical network dynamics underlying behavioral performance.

bioRxiv : the preprint server for biology·2026
Same journal

<i>Staphylococcus aureus</i> uses a eukaryotic-like uridyltransferase to make UDP-GlcNAc for cell wall synthesis.

bioRxiv : the preprint server for biology·2026
Same journal

Dynamic redistribution of eIF4F controls cap-dependent translation initiation.

bioRxiv : the preprint server for biology·2026
Same journal

When does additional information improve accuracy of RNA secondary structure prediction?

bioRxiv : the preprint server for biology·2026
Same journal

Normative brain-state trajectories reveal deviation from healthy aging in Alzheimer's disease.

bioRxiv : the preprint server for biology·2026
Same journal

Noradrenergic infraslow rhythm during sleep is the critical link between heart-rate dynamics and memory consolidation.

bioRxiv : the preprint server for biology·2026
查看所有相关文章

相关实验视频

Updated: Jan 10, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

36.0K

在无限站点模型下有效的贝叶斯系遗传学.

Ivan Specht1, Julia A Palacios1,2,3

  • 1Institute for Computational and Mathematical Engineering, Stanford University, 475 Via Ortega, Stanford, CA 94305.

bioRxiv : the preprint server for biology
|November 26, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了inPhynite,这是一个用于大型基因组数据集的快速贝叶斯系遗传学算法. 它显著提高了推断进化历史和人口规模的计算效率,而不会牺牲准确性.

关键词:
贝叶斯语 贝叶斯语 贝叶斯语 贝叶斯语野生动物动物.凝聚聚合的 凝聚聚合的实际人口规模 实际人口规模无限的网站无限的网站人类遗传学 (phylogenetics) 是一个学科.

更多相关视频

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.4K
A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

554

相关实验视频

Last Updated: Jan 10, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

36.0K
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.4K
A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

554

科学领域:

  • 计算生物学 计算生物学
  • 进化遗传学 进化遗传学
  • 生物信息学是一种生物信息学.

背景情况:

  • 贝叶斯的家族遗传推断对于理解人口进化历史至关重要.
  • 目前的基因组学工具在大型基因组数据集的可扩展性方面扎.

研究的目的:

  • 介绍 inPhynite,一个新的,高效的贝叶斯系遗传学算法.
  • 为大规模数据解决现有的基因推理方法的计算局限性.

主要方法:

  • 在Phynite开发了一个与无限站点突变模型兼容的算法.
  • 设计了一种高效的马尔科夫链,用于采样突变和凝聚.
  • 模拟有效的人口规模轨迹作为零碎常数函数.

主要成果:

  • 在大型数据集上,inPhynite的统计效率提高了225倍以上.
  • 该算法表现出与现有方法可比的准确性.
  • 在Phynite成功地应用了使用线粒体DNA推断人类人口进化史.

结论:

  • inPhynite为贝叶斯系遗传学计算效率提供了显著的进步.
  • 无限位点突变模型简化了概率计算,使得推断速度更快.
  • inPhynite是分析大型基因组数据集和重建人口进化动态的宝贵工具.