AliSim: A Fast and Versatile Phylogenetic Sequence Simulator for the Genomic Era.

• DOI: 10.5281/zenodo.5778560
• Publication Date: 2021-12-17
• Authors: Nhan Ly-Trong; Suha Naser-Khdour; Robert Lanfear; Bui Quang Minh
• Keywords: 0301 basic medicine; Models, Genetic; molecular evolution; 0206 medical engineering; sequence simulation; Genomics; 02 engineering and technology; Resources; Evolution, Molecular; phylogenetics; 03 medical and health sciences; Phylogeny; Software

AbstractSequence simulators play an important role in phylogenetics. Simulated data has many applications, such as evaluating the performance of different methods, hypothesis testing with parametric bootstraps, and, more recently, generating data for training machine-learning applications. Many sequence simulation programs exist, but the most feature-rich programs tend to be rather slow, and the fastest programs tend to be feature-poor. Here, we introduce AliSim, a new tool that can efficiently simulate biologically realistic alignments under a large range of complex evolutionary models. To achieve high performance across a wide range of simulation conditions, AliSim implements an adaptive approach that combines the commonly-used rate matrix and probability matrix approach. AliSim takes 1.3 hours and 1.3 GB RAM to simulate alignments with one million sequences or sites, while popular software Seq-Gen, Dawg, and INDELible require two to five hours and 50 to 500 GB of RAM. We provide AliSim as an extension of the IQ-TREE software version 2.2, freely available at www.iqtree.org, and a comprehensive user tutorial at http://www.iqtree.org/doc/AliSim.