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

45.4K
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.
45.4K
Cochran's Q Test01:17

Cochran's Q Test

362
Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
362
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
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...
5.8K
Survival Tree01:19

Survival Tree

88
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
88
Genetics of Speciation02:16

Genetics of Speciation

19.3K
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
19.3K
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

25
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
25

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

CAMUS: scalable phylogenetic network estimation.

Bioinformatics (Oxford, England)·2026
Same author

Min-frame transformation enables more sensitive viral genome alignment.

bioRxiv : the preprint server for biology·2026
Same author

TIPP-SD: A new method for species detection in microbiomes.

PLoS computational biology·2026
Same author

Species Tree Branch Length Estimation despite Incomplete Lineage Sorting, Duplication, and Loss.

Genome biology and evolution·2025
Same author

Lower Bounds on the Sample Complexity of Species Tree Estimation when Substitution Rates Vary Across Loci.

Bulletin of mathematical biology·2025
Same author

TIPP3 and TIPP3-fast: Improved abundance profiling in metagenomics.

PLoS computational biology·2025

相关实验视频

Updated: Jul 12, 2025

A Simple Protocol for Mapping the Plant Root System Architecture Traits
11:09

A Simple Protocol for Mapping the Plant Root System Architecture Traits

Published on: February 10, 2023

2.9K

QR-STAR:一个多项式时间统计一致的方法,用于在光下的树种植根.

Yasamin Tabatabaee1, Sebastien Roch2, Tandy Warnow1

  • 1Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.

Journal of computational biology : a journal of computational molecular cell biology
|October 30, 2023
PubMed
概括

我们开发了QR-STAR,这是一个统计学上一致的算法,用于从基因树中根植物种树,使用多物种凝聚模型. 这种新方法提高了准确性,并具有多项式样本复杂性,用于准确的基因推理推理.

关键词:
多种多种的凝聚聚合物.扎根就是扎根.种类树木估计 种类树木估计统计统计的一致性.

更多相关视频

A Workflow for the Quantitative Assessment of the Endophytic and Epiphytic Bacterial Microbiomes of the Bark of Populus trichocarpa
12:05

A Workflow for the Quantitative Assessment of the Endophytic and Epiphytic Bacterial Microbiomes of the Bark of Populus trichocarpa

Published on: June 27, 2025

366
Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
06:56

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis

Published on: September 22, 2023

1.1K

相关实验视频

Last Updated: Jul 12, 2025

A Simple Protocol for Mapping the Plant Root System Architecture Traits
11:09

A Simple Protocol for Mapping the Plant Root System Architecture Traits

Published on: February 10, 2023

2.9K
A Workflow for the Quantitative Assessment of the Endophytic and Epiphytic Bacterial Microbiomes of the Bark of Populus trichocarpa
12:05

A Workflow for the Quantitative Assessment of the Endophytic and Epiphytic Bacterial Microbiomes of the Bark of Populus trichocarpa

Published on: June 27, 2025

366
Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
06:56

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis

Published on: September 22, 2023

1.1K

科学领域:

  • 计算生物学 计算生物学
  • 人类遗传学 是一个学科.
  • 进化生物学 进化生物学

背景情况:

  • 从基因树上根除未根植的物种树,对于理解进化关系至关重要.
  • 多种凝聚 (MSC) 模型是基因树进化的标准框架.
  • 之前的算法,如五重奏根 (QR) 显示出承诺,但缺乏经过验证的统计一致性.

研究的目的:

  • 根据MSC模型开发一个统计学上一致的算法来根植物种树木.
  • 提高现有方法的准确性和理论保证.
  • 提供一个强大的计算工具,用于遗传学推断.

主要方法:

  • 推出了QR-STAR,这是五重奏根植 (QR) 算法的新变体.
  • 将一个额外的步骤和一个修改后的成本函数纳入QR.
  • 在MSC模型下证明了QR-STAR的统计一致性.
  • 导出了QR-STAR的样本复杂度极限,包括使用"短五重奏"的多项式样本复杂度的变体.

主要成果:

  • 在MSC下,QR-STAR对植根物种树木具有统计一致性.
  • 该算法实现了多项式样本复杂性,特别是"短五重奏"的变体.
  • 模拟表明,在各种条件下,QR-STAR与原始QR算法的准确性相匹配或超过.

结论:

  • QR-STAR提供了一个统计学上健全和准确的方法,可以从基因树中推断根植的物种树.
  • 该算法通过提供理论保证和提高性能来推进遗传学领域.
  • QR-STAR可以作为一个开源工具来促进进化生物学研究.