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Updated: Jun 27, 2025
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A Practical Guide to Phylogenetics for Nonexperts
Published on: February 5, 2014
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SEGUL: Ultrafast, memory-efficient and mobile-friendly software for manipulating and summarizing phylogenomic
Heru Handika1, Jacob A Esselstyn1
1Museum of Natural Science and Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana, USA.
Molecular Ecology Resources
|April 26, 2024
Summary
SEGUL is a new ultrafast and memory-efficient software for phylogenomic data manipulation. It offers command-line and graphical interfaces, minimizing bioinformatics barriers and enabling analysis on inexpensive hardware.
Area of Science:
- Bioinformatics
- Computational Biology
- Evolutionary Biology
Background:
- Phylogenetic studies increasingly involve large datasets requiring significant computational resources.
- Existing software often demands advanced command-line skills and substantial hardware.
- There is a need for accessible and efficient tools for phylogenomic data analysis.
Purpose of the Study:
- To develop an ultrafast and memory-efficient software for common phylogenomic dataset manipulations.
- To provide both command-line interface (CLI) and graphical user interface (GUI) options.
- To reduce computational and economic barriers in phylogenomics.
Main Methods:
- Developed SEGUL, a software leveraging the Rust programming language for high performance.
- Created standalone CLI and GUI applications, alongside libraries for Rust, R, and Python.
- Ensured native support for Windows, Linux, macOS (including Apple ARM Macs), and mobile OS (iOS, iPadOS, Android).
Main Results:
- SEGUL demonstrates fast execution times and low memory footprints across various platforms and dataset sizes.
- The GUI version lowers the barrier to entry for phylogenomic analyses.
- Efficiency enables analyses on less powerful, inexpensive hardware.
Conclusions:
- SEGUL significantly enhances the accessibility and efficiency of phylogenomic data manipulation.
- The software democratizes phylogenomics by reducing hardware and expertise requirements.
- Mobile OS support facilitates phylogenomics education in resource-limited environments.
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