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Updated: Sep 13, 2025

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Phylo-rs: an extensible phylogenetic analysis library in rust.

Sriram Vijendran¹, Tavis Anderson², Alexey Markin²

¹Department of Computer Science, Iowa State University, Ames, IA, 50011, USA. sriramv@iastate.edu.

BMC Bioinformatics

|July 30, 2025

Summary

This summary is machine-generated.

Phylo-rs is a new Rust library for fast, memory-efficient phylogenetic analysis. It aids in deciphering evolutionary relationships from large sequencing datasets and aids in genomic epidemiology and vaccine development.

Keywords:

Library Phylogenetics Rust WebAssembly

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Last Updated: Sep 13, 2025

A Practical Guide to Phylogenetics for Nonexperts

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Published on: February 5, 2014

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

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Published on: May 28, 2021

Area of Science:

Computational Biology
Bioinformatics
Evolutionary Biology

Background:

Next-generation and long-read sequencing generate vast phylogenetic data.
Efficient computational libraries are crucial for analyzing this data and developing specialized algorithms.
Phylogenetic comparative biology requires robust tools for evolutionary relationship inference.

Purpose of the Study:

Introduce Phylo-rs, a Rust-based library for phylogenetic analysis and inference.
Provide a fast, memory-efficient, and extensible tool for large-scale phylogenetic studies.
Facilitate the development and dissemination of advanced phylogenetic algorithms.

Main Methods:

Developed Phylo-rs in Rust, leveraging its speed, memory safety, and WebAssembly support.
Implemented memory-efficient data structures and fundamental phylogenetic algorithms.
Performed scalability analysis against existing popular phylogenetic libraries.

Main Results:

Phylo-rs demonstrates comparable or superior performance on key algorithms compared to established libraries.
Applied Phylo-rs to analyze swine influenza A virus diversity, identifying expanding groups for vaccine targeting.
Enhanced phylogenetic inference by visualizing MCMC tree space for genomic epidemiology applications.

Conclusions:

Phylo-rs empowers the creation of advanced phylogenetic analysis software.
It facilitates the practical application and dissemination of theoretical advancements in evolutionary biology.
Phylo-rs is open-source, promoting accessibility and collaborative development.