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Phylogenetic Trees

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Phylogeny

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Related Experiment Video

Updated: Dec 26, 2025

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Iroki: automatic customization and visualization of phylogenetic trees.

Ryan M Moore¹, Amelia O Harrison², Sean M McAllister²

¹Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, United States of America.

|March 10, 2020

Summary

This summary is machine-generated.

Iroki is a web tool that simplifies the interpretation of large phylogenetic trees for microbial diversity and evolutionary history studies. It automatically customizes complex trees using metadata, making scientific insights more accessible.

Keywords:

Bioinformatics Data visualization Environmental microbiology Metagenomics Microbial ecology Microbiome Phylogeny Sequence analysis Software Viral ecology

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Last Updated: Dec 26, 2025

A Practical Guide to Phylogenetics for Nonexperts

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Published on: February 5, 2014

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Published on: August 14, 2018

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

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Published on: October 16, 2018

Area of Science:

Microbial Ecology
Bioinformatics
Evolutionary Biology

Background:

Phylogenetic trees are crucial for understanding microbial diversity and evolutionary history.
Increasing sequencing data generates large, complex trees that are difficult to interpret.
Manual tree customization is time-consuming and prone to errors.

Purpose of the Study:

To introduce Iroki, a user-friendly web interface for visualizing and customizing large phylogenetic trees.
To simplify the interpretation of complex microbial datasets.
To facilitate the exploration of biological and ecological trends from sequencing data.

Main Methods:

Developed Iroki, a web-based tool for automatic tree visualization and customization.
Utilized tab-separated text files for metadata input.
Applied Iroki to microbial ecology datasets with large trees (hundreds to thousands of nodes).

Main Results:

Iroki provides automatic customization of large phylogenetic trees based on metadata.
The tool simplifies scientific inferences from complex tree structures.
Demonstrated utility in various microbial ecology applications.

Conclusions:

Iroki enhances the interpretation of large phylogenetic trees for microbial research.
The web interface reduces the complexity and time associated with tree customization.
Iroki is a valuable tool for exploring evolutionary and ecological trends in sequencing data.