Related Experiment Video
Updated: May 2, 2026

12:00
A Practical Guide to Phylogenetics for Nonexperts
Published on: February 5, 2014
35.2K
POPTREEW: web version of POPTREE for constructing population trees from allele frequency data and computing some
Naoko Takezaki1, Masatoshi Nei2, Koichiro Tamura3
1Life Science Research Center, Kagawa University, Kagawa, Japan takezaki@med.kagawa-u.ac.jp.
Molecular Biology and Evolution
|March 8, 2014
Summary
POPTREE software now offers a web-based version (POPTREEW) for evolutionary analyses of genetic data. This update enhances accessibility and includes new methods for calculating genetic diversity and differentiation.
Area of Science:
- Population Genetics
- Evolutionary Biology
- Bioinformatics
Background:
- POPTREE software provides tools for evolutionary analyses using allele frequency data.
- Existing versions include command-line (POPTREE) and Windows (POPTREE2) interfaces.
- Key computations include genetic distance, population trees, average heterozygosity (H), and G(ST).
Purpose of the Study:
- To develop a web-based version of POPTREE (POPTREEW) for broader accessibility.
- To enhance the software's capabilities with new population genetic metrics.
- To improve the input flexibility for genotype data.
Main Methods:
- Development of a cross-platform web interface (POPTREEW).
- Integration of existing POPTREE functions into the web version.
- Implementation of standardized G(ST) and Jost's D calculations.
- Acceptance of genotype data in GENEPOP format.
Main Results:
- POPTREEW offers universal access to POPTREE's evolutionary analysis functions.
- The new software versions compute standardized G(ST) and Jost's D for high-variability data.
- Genotype data can now be directly inputted using the widely-used GENEPOP format.
Conclusions:
- The POPTREEW web version significantly improves accessibility to population genetic analysis tools.
- Enhanced metrics provide more robust measures of genetic diversity and differentiation.
- Increased input compatibility facilitates broader application in evolutionary studies.
Related Concept Videos
Phylogenetic Trees
41.7K
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.
41.7K
Phylogenetic Trees
5.7K
5.7K
What is Population Genetics?
54.0K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
54.0K
Microbial Phylogeny
88
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,...
88
Evolutionary Relationships through Genome Comparisons
5.8K
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...
5.8K
Survival Tree
499
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...
Building a Survival Tree
Constructing a...
499

