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

Phylogeny01:23

Phylogeny

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...
Phylogenetic Trees03:21

Phylogenetic Trees

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.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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...
Phylogenetic Trees03:21

Phylogenetic Trees

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.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...
Survival Tree01:19

Survival Tree

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 survival tree begins...
Microbial Phylogeny01:28

Microbial Phylogeny

Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...

You might also read

Related Articles

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

Sort by
Same author

Bayesian Credible Sets for Phylogenetic Tree Topologies with Applications to Coverage Analysis and Cross-Model Comparison.

Molecular biology and evolution·2026
Same author

Reducing Supply Chain Dependencies for Viral Genomic Surveillance: Get by with a Little HELP from Commercial Enzymes already in your Lab Freezer.

Wellcome open research·2026
Same author

Global approaches to infectious disease surveillance and modeling.

Nature medicine·2026
Same author

Genomic epidemiology of the 2025 mpox epidemic in Sierra Leone.

Nature medicine·2026
Same author

Parallel algorithms for phylogenetic inference under a structured coalescent approximation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

The emergence and molecular evolution of H5N1 influenza viruses in United States dairy cattle.

bioRxiv : the preprint server for biology·2026
Same journal

Globins in the marine annelid Platynereis dumerilii shed new light on hemoglobin evolution in bilaterians.

BMC evolutionary biology·2020
Same journal

Is there any intron sliding in mammals?

BMC evolutionary biology·2020
Same journal

The evolution of the huntingtin-associated protein 40 (HAP40) in conjunction with huntingtin.

BMC evolutionary biology·2020
Same journal

You don't have the guts: a diverse set of fungi survive passage through Macrotermes bellicosus termite guts.

BMC evolutionary biology·2020
Same journal

Mitochondrial DNAs provide insight into trypanosome phylogeny and molecular evolution.

BMC evolutionary biology·2020
Same journal

Stress-related changes in leukocyte profiles and telomere shortening in the shortest-lived tetrapod, Furcifer labordi.

BMC evolutionary biology·2020
See all related articles

Related Experiment Video

Updated: Jun 25, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 6, 2014

BEAST: Bayesian evolutionary analysis by sampling trees.

Alexei J Drummond1, Andrew Rambaut

  • 1Bioinformatics Institute, University of Auckland, Auckland, New Zealand. alexei@cs.auckland.ac.nz

BMC Evolutionary Biology
|November 13, 2007
PubMed
Summary
This summary is machine-generated.

BEAST is a flexible software for Bayesian analysis of molecular sequences. This package aids evolutionary analysis of molecular sequence variation using probabilistic models.

More Related Videos

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Related Experiment Videos

Last Updated: Jun 25, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 6, 2014

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Area of Science:

  • Evolutionary biology
  • Bioinformatics
  • Computational biology

Background:

  • Molecular sequence variation analysis relies heavily on statistical and probabilistic models.
  • Phylogenetic inference, sequence alignment, and population genetics increasingly use these models.
  • BEAST (Bayesian Evolutionary Analysis Sampling Trees) is a software architecture designed for this purpose.

Purpose of the Study:

  • To introduce BEAST, a fast and flexible software architecture for analyzing molecular sequences.
  • To implement a wide range of stochastic models for sequence evolution.
  • To provide tree-based models for both within- and between-species sequence data.

Main Methods:

  • BEAST utilizes a Bayesian framework for phylogenetic inference.
  • It incorporates various stochastic models of sequence evolution.
  • The software supports tree-based analyses for diverse evolutionary datasets.

Main Results:

  • BEAST version 1.4.6 is a comprehensive package with 81,000 lines of Java code.
  • It includes models for DNA and protein evolution, coalescent analysis, and relaxed clock phylogenetics.
  • Statistical alignment and flexible prior distributions are also provided.

Conclusions:

  • BEAST is a powerful and adaptable tool for evolutionary analysis of molecular sequence data.
  • The software serves as a platform for developing novel evolutionary models and statistical methods.