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    Efficient ancestry and mutation simulation with msprime 1.0.

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    Author
    Baumdicker, Franz
    Bisschop, Gertjan
    Goldstein, Daniel
    Gower, Graham
    Ragsdale, Aaron P
    Tsambos, Georgia
    Zhu, Sha
    Eldon, Bjarki
    Ellerman, E Castedo
    Galloway, Jared G
    Gladstein, Ariella L
    Gorjanc, Gregor
    Guo, Bing
    Jeffery, Ben
    Kretzschmar, Warren W
    Lohse, Konrad
    Matschiner, Michael
    Nelson, Dominic
    Pope, Nathaniel S
    Quinto-Cortés, Consuelo D
    Rodrigues, Murillo F
    Saunack, Kumar
    Sellinger, Thibaut
    Thornton, Kevin
    van Kemenade, Hugo
    Wohns, Anthony W
    Wong, Yan
    Gravel, Simon
    Kern, Andrew D
    Koskela, Jere
    Ralph, Peter L
    Kelleher, Jerome
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    Date
    2021-12-13
    Journal
    Genetics
    Publisher
    Oxford University Press
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1093/genetics/iyab229
    Abstract
    Stochastic simulation is a key tool in population genetics, since the models involved are often analytically intractable and simulation is usually the only way of obtaining ground-truth data to evaluate inferences. Because of this, a large number of specialized simulation programs have been developed, each filling a particular niche, but with largely overlapping functionality and a substantial duplication of effort. Here, we introduce msprime version 1.0, which efficiently implements ancestry and mutation simulations based on the succinct tree sequence data structure and the tskit library. We summarize msprime's many features, and show that its performance is excellent, often many times faster and more memory efficient than specialized alternatives. These high-performance features have been thoroughly tested and validated, and built using a collaborative, open source development model, which reduces duplication of effort and promotes software quality via community engagement.
    Rights/Terms
    © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America.
    Keyword
    Ancestral Recombination Graphs
    Coalescent
    Mutations
    Simulation
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/17552
    ae974a485f413a2113503eed53cd6c53
    10.1093/genetics/iyab229
    Scopus Count
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