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Updated: Sep 24, 2025
12:00
A Practical Guide to Phylogenetics for Nonexperts
Published on: February 5, 2014
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AliSim: A Fast and Versatile Phylogenetic Sequence Simulator for the Genomic Era
Nhan Ly-Trong1, Suha Naser-Khdour2, Robert Lanfear2
1School of Computing, College of Engineering and Computer Science, Australian National University, Canberra, ACT 2600, Australia.
Molecular Biology and Evolution
|May 5, 2022
Summary
AliSim is a new, efficient sequence simulator for phylogenetics. It generates biologically realistic alignments quickly, even with complex evolutionary models, using less memory than existing tools.
Area of Science:
- Computational Biology
- Phylogenetics
- Bioinformatics
Background:
- Sequence simulators are crucial for phylogenetic analysis, method evaluation, and machine learning data generation.
- Existing simulators often present a trade-off between features and speed, or computational resource requirements.
Purpose of the Study:
- To introduce AliSim, a novel sequence simulation tool designed for efficiency and biological realism.
- To enable simulation under a wide range of complex evolutionary models.
Main Methods:
- AliSim employs an adaptive approach combining rate matrix and probability matrix methods for high performance.
- The tool is implemented as an extension of IQ-TREE software version 2.2.
Main Results:
- AliSim simulates large alignments (1 million sequences/sites) in 1.4 hours using 1.3 GB RAM.
- This performance is significantly better than Seq-Gen, Dawg, and INDELible, which require more time and memory.
Conclusions:
- AliSim offers a high-performance solution for simulating biologically realistic sequence alignments.
- The tool is freely available and suitable for various phylogenetic and machine learning applications.
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