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 Experiment Videos

Information obtained in cladistic analysis.

J R Stone1

  • 1Department of Animal Ecology, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18D, SE-752 36, Sweden. jon.stone@evolution.uu.se

Bio Systems
|July 13, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

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

Probabilities for completely pectinate and symmetric cladograms.

Cladistics : the international journal of the Willi Hennig Society·2021
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 journal

Ruliological Resilience: Pattern Restoration and Robustness in Wolfram Patterns. A Basis for Regeneration, Not Just in Cone Shells?

Bio Systems·2026
Same journal

The Quantum-to-Classical Transducer: A Thermodynamic and Quantum Mechanical Framework for the Emergence of Bioenergetics.

Bio Systems·2026
Same journal

Forward-backward gene expression binarization for boolean state inference over a known regulatory network.

Bio Systems·2026
Same journal

Partial-label metric ceilings for evaluating gene regulatory networks inferred from single-cell foundation models.

Bio Systems·2026
Same journal

The impedance mismatch theory: A non-equilibrium thermodynamic framework for a shared energetic stress pathway in neurodegeneration.

Bio Systems·2026
Same journal

Immune signal-status misclassification: A theoretical framework for biological status assignment and failed status resolution.

Bio Systems·2026
See all related articles

This study formalizes information theory for cladistic analysis, deriving an equation to quantify information gained from cladograms. This measure can compare species richness and reveals evolutionary insights from character distributions.

Area of Science:

  • Phylogenetics
  • Information Theory
  • Computational Biology

Background:

  • Cladistic analysis is crucial for reconstructing evolutionary relationships.
  • Quantifying the information content of phylogenetic trees remains a challenge.

Purpose of the Study:

  • To mathematically formalize the application of information theory to cladistic analysis.
  • To derive an equation for quantifying information obtained from cladograms.
  • To explore the utility of this measure for comparative analyses and evolutionary insights.

Main Methods:

  • Application of elementary equations from information theory.
  • Mathematical formalization of cladistic analysis elements.
  • Derivation of a quantitative equation for cladogram information content.

Related Experiment Videos

Main Results:

  • An equation quantifies information gained from cladistic data matrices.
  • Information content increases with the number of taxa, serving as a species richness measure.
  • Information yield relates to character state distribution on deduced cladograms.
  • Analysis of 11 animal phyla demonstrates consistency across taxa and characters.

Conclusions:

  • The derived information-theoretic equation provides a novel metric for cladistic analysis.
  • This metric can be used to compare species richness and explore evolutionary patterns.
  • Differences in information yield among phyla may offer speculative evolutionary explanations.