Author
Baumdicker, FranzBisschop, 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
Date
2021-12-13Journal
GeneticsPublisher
Oxford University PressType
Article
Metadata
Show full item recordAbstract
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.Identifier to cite or link to this item
http://hdl.handle.net/10713/17552ae974a485f413a2113503eed53cd6c53
10.1093/genetics/iyab229
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