Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multiple Comparison Tests01:13

Multiple Comparison Tests

4.7K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.7K
Survival Tree01:19

Survival Tree

504
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...
504
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

6.9K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
6.9K
Kendall's Tau Test01:16

Kendall's Tau Test

1.3K
Kendall's tau test, also known as the Kendall rank coefficient test, is a nonparametric method for assessing association between two variables. This test is particularly useful for identifying significant correlations when the distributions of the sample and population are unknown. Developed in 1938 by the British statistician Sir Maurice George Kendall, the tau coefficient (denoted as τ) serves as a rank correlation coefficient, with values ranging from -1 to +1.
A τ value of +1...
1.3K
Compacting Factor test01:22

Compacting Factor test

736
The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
736
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

645
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
645

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Elephant range and population, strontium isotopes, and genetics combine to give local-scale specificity to ivory hotspot tracking.

Isotopes in environmental and health studies·2025
Same author

Somatic whole genome dynamics of precancer in Barrett's esophagus reveals features associated with disease progression.

Nature communications·2022
Same author

Elephant genotypes reveal the size and connectivity of transnational ivory traffickers.

Nature human behaviour·2022
Same author

Within-patient phylogenetic reconstruction reveals early events in Barrett's Esophagus.

Evolutionary applications·2021
Same author

Distinct Classes of Complex Structural Variation Uncovered across Thousands of Cancer Genome Graphs.

Cell·2020
Same author

Correction to: NSAID use and somatic exomic mutations in Barrett's esophagus.

Genome medicine·2019
Same journal

Diversification dynamics in the global radiation of gobies.

Systematic biology·2026
Same journal

Correction to: nQMaker: Estimating Time Nonreversible Amino Acid Substitution Models.

Systematic biology·2026
Same journal

Phylogenomic challenges in polyploid-rich lineages: Insights from paralog processing and reticulation methods using the complex genus Packera (Asteraceae: Senecioneae).

Systematic biology·2026
Same journal

An evolving view of phylogenetic biogeography.

Systematic biology·2026
Same journal

Modeling Site-and-Branch-Heterogeneity with GFmix.

Systematic biology·2026
Same journal

Coalescent-based branch length estimation improves dating of species trees.

Systematic biology·2026
See all related articles

Related Experiment Video

Updated: Apr 21, 2026

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

1.9K

Practical performance of tree comparison metrics.

Mary K Kuhner1, Jon Yamato2

  • 1Department of Genome Sciences, Box 355065, University of Washington, Seattle, WA 98195-5065, USA. mkkuhner@uw.edu.

Systematic Biology
|November 8, 2014
PubMed
Summary
This summary is machine-generated.

Choosing the right phylogenetic tree distance metric is crucial. Branch-length metrics excel for similar trees, while topology-only metrics are better for dissimilar ones, impacting evolutionary analyses.

Keywords:
Phylogeneticstree comparisontree distance metrics

More Related Videos

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

883
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.1K

Related Experiment Videos

Last Updated: Apr 21, 2026

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

1.9K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

883
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.1K

Area of Science:

  • Phylogenetics and Evolutionary Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Numerous phylogenetic tree distance measures exist, but their comparative performance is poorly understood.
  • Existing measures face criticism, necessitating an evaluation of their practical utility in typical applications.
  • Understanding tree differences is vital for accurate evolutionary inference.

Purpose of the Study:

  • To evaluate the performance of nine tree distance measures.
  • To assess their effectiveness in distinguishing trees based on recombination events and data quality.
  • To provide practical recommendations for selecting appropriate tree distance metrics.

Main Methods:

  • Comparative performance analysis of nine tree distance measures.
  • Two key tasks: distinguishing trees by recombination number and by data quality.
  • Application to a real-world mammalian phylogenetic dataset.

Main Results:

  • For similar trees, branch-length-aware metrics (e.g., Robinson-Foulds) performed best.
  • For dissimilar trees, topology-only metrics (e.g., Nye et al.'s Alignment metric) were superior.
  • Metric choice on the mammalian dataset depended on the relevance of branch-length information.

Conclusions:

  • The optimal tree distance metric is context-dependent, varying with tree similarity and data characteristics.
  • Branch-length metrics are suitable for closely related trees, while topology-only metrics suit divergent trees.
  • Recommendations are provided for selecting tree distance metrics based on specific research applications.