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

Phylogenetic Trees03:21

Phylogenetic Trees

48.1K
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.
48.1K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.4K
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...
6.4K
Probability Laws01:49

Probability Laws

42.2K
Overview
42.2K
Phylogeny01:23

Phylogeny

54.2K
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.
54.2K
Chi-square Analysis02:46

Chi-square Analysis

40.0K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
40.0K
Pedigree Analysis01:35

Pedigree Analysis

86.0K
Overview
86.0K

You might also read

Related Articles

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

Sort by
Same author

A model for decoding resistance in precision oncology: acquired resistance to FGFR inhibitors in cholangiocarcinoma.

Annals of oncology : official journal of the European Society for Medical Oncology·2024
Same author

Training Community Health Ambassadors to Administer SOPARC.

Journal of health science & education·2023
Same author

Guiacum in Dysmenorrhœa.

The North-Western medical and surgical journal·2023
Same author

Solar irradiance and ENSO affect food security in Lake Tanganyika, a major African inland fishery.

Science advances·2020
Same author

Cerebral [<sup>18</sup> F]T807/AV1451 retention pattern in clinically probable CTE resembles pathognomonic distribution of CTE tauopathy.

Translational psychiatry·2016
Same author

Finite Nuclei in the Quark-Meson Coupling Model.

Physical review letters·2016

Related Experiment Video

Updated: Oct 10, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.1K

Probabilities for completely pectinate and symmetric cladograms.

J R Stone1

  • 1Department of Biology, McMaster University, Life Sciences Building, Room 327, 1280 Main Street West, Hamilton, Ont., Canada L8S 4K1.

Cladistics : the International Journal of the Willi Hennig Society
|December 15, 2021
PubMed
Summary

New formulas simplify probability calculations for specific types of evolutionary trees (cladograms). This research presents nonalgorithmic methods for completely pectinate and symmetric cladograms, aiding phylogenetic analysis.

More Related Videos

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

288
A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.5K

Related Experiment Videos

Last Updated: Oct 10, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.1K
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

288
A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.5K

Area of Science:

  • Phylogenetics
  • Computational Biology
  • Evolutionary Biology

Background:

  • Phylogenetic trees (cladograms) are crucial for understanding evolutionary relationships.
  • Calculating probabilities associated with different cladogram structures can be computationally intensive.
  • Existing methods may rely on algorithmic approaches, limiting direct analytical solutions.

Purpose of the Study:

  • To present novel, nonalgorithmic formulas for probability calculations.
  • To specifically address completely pectinate and symmetric cladogram types.
  • To provide a more direct and potentially efficient method for probability assessment in phylogenetics.

Main Methods:

  • Development of analytical formulas.
  • Focus on nonalgorithmic computational approaches.
  • Application to specific cladogram topologies: completely pectinate and symmetric.

Main Results:

  • Formulas derived for calculating probabilities of completely pectinate cladograms.
  • Formulas derived for calculating probabilities of symmetric cladograms.
  • Demonstration of nonalgorithmic calculation methods.

Conclusions:

  • The presented formulas offer a direct, nonalgorithmic means to compute probabilities for specific cladogram types.
  • These methods can enhance the efficiency and accessibility of phylogenetic analyses.
  • The findings contribute to the theoretical framework of phylogenetics and cladistics.