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

Calculation, visualization, and manipulation of MASTs (Maximum Agreement Subtrees).

Shiming Dong1, Eileen Kraemer

  • 1Computer Science Department, University of Georgia, USA. dong@cs.uga.edu

Proceedings. IEEE Computational Systems Bioinformatics Conference
|February 2, 2006
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

Explainable machine learning differentiates necrotizing fasciitis and osteomyelitis via routine blood biomarkers.

NPJ digital medicine·2026
Same author

Silencing Clusterin Could Attenuate the Cell Properties of HCV Core Protein-Expressing HCC Cell Line.

Digestive diseases and sciences·2025
Same author

Explainable machine learning for differential diagnosis of diabetic foot infection and osteomyelitis: a two-center study and clinically applicable web calculator using routine blood biomarkers.

BMC medical informatics and decision making·2025
Same author

Causal Association Between Sleep Deprivation and Glioblastoma Risk: Insights from Multi-Omics Analysis.

Journal of molecular neuroscience : MN·2025
Same author

Fracture Mechanical Properties of Double-Edge Cracked Flattened Brazilian Disc Samples Under Compressive Loads.

Materials (Basel, Switzerland)·2025
Same author

Pt Nanoparticles on Multi-Walled Carbon Nanotubes with High CO Tolerance for Methanol Electrooxidation.

Molecules (Basel, Switzerland)·2024

TreeAnalyzer is a new software package for comparing phylogenetic trees. It aids in understanding evolutionary history and classification by implementing a Maximum Agreement Subtree algorithm and offering visualization tools.

Area of Science:

  • Computational Biology
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Phylogenetic trees are crucial for visualizing evolutionary history and species relationships.
  • Comparing phylogenetic trees aids in identifying common classifications and evaluating tree construction methods.
  • Existing tools may lack comprehensive features for tree comparison and analysis.

Purpose of the Study:

  • To introduce TreeAnalyzer, a freely available software package designed for phylogenetic tree comparison.
  • To provide researchers with a tool for analyzing evolutionary relationships and tree discrepancies.
  • To facilitate the comparison, visualization, and manipulation of multiple phylogenetic trees.

Main Methods:

  • Implementation of the Maximum Agreement Subtree (MAST) algorithm for tree comparison.

Related Experiment Videos

  • Development of a software package offering diverse functionalities for phylogenetic tree analysis.
  • Integration of visualization, manipulation, labeling, and printing capabilities within the software.

    • Main Results:

    • TreeAnalyzer provides a robust platform for comparing phylogenetic trees using the MAST algorithm.
    • The software enables detailed analysis of tree structures, evolutionary inferences, and distances between trees.
    • Users can effectively visualize, manipulate, label, and print trees for comprehensive study.

    Conclusions:

    • TreeAnalyzer offers a valuable and accessible resource for the scientific community engaged in phylogenetic analysis.
    • The software enhances the ability to compare evolutionary histories and classifications derived from different phylogenetic trees.
    • Its comprehensive features support a wide range of research applications in evolutionary biology and bioinformatics.