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Published on: February 3, 2023
INDELible: a flexible simulator of biological sequence evolution.
William Fletcher1, Ziheng Yang
1Department of Genetics, Evolution and Environment and Centre for Mathematics and Physics in the Life Sciences and Experimental Biology, University College London, London, UK.
Molecular Biology and Evolution
|May 9, 2009
Summary
INDELible is a new software tool for simulating molecular sequence data, including insertions and deletions (indels) and substitutions. This flexible application aids in testing phylogenetic inference methods with realistic evolutionary models.
Area of Science:
- Computational Biology
- Bioinformatics
- Evolutionary Biology
Background:
- Phylogenetic reconstruction relies on molecular sequence data.
- Accurate simulation of evolutionary processes, particularly insertions and deletions (indels), is crucial for testing phylogenetic methods.
- Existing simulation tools have limitations in modeling realistic indel events.
Purpose of the Study:
- To introduce INDELible, a novel software application for simulating molecular sequence data.
- To provide a flexible and portable tool for generating diverse sequence data, incorporating both substitutions and indels.
- To enhance the evaluation of phylogenetic inference and related computational methods.
Main Methods:
- INDELible simulates nucleotide, amino acid, and codon sequence data.
- It models insertions and deletions (indels) using various length distribution models.
- The software incorporates a wide array of substitution models, including complex, nonstationary, nonhomogeneous, mixture, partition, and codon models.
Main Results:
- INDELible generates sequence data with realistic simulated indels and substitutions.
- The application supports a comprehensive suite of evolutionary models, addressing site and branch heterogeneity.
- Its flexibility allows for the simulation of various data types and evolutionary scenarios.
Conclusions:
- INDELible offers a powerful and versatile platform for phylogenetic research.
- It is expected to significantly aid in assessing the performance of multiple sequence alignment, phylogenetic tree inference, and genome reconstruction methods.
- The tool's advanced features facilitate more robust evaluations of computational evolutionary biology techniques.
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