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Efficient ancestry and mutation simulation with msprime 1.0

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/genetics/iyab229

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author


Publisher:
Oxford University Press
Journal:
Genetics More from this journal
Volume:
220
Issue:
3
Article number:
iyab229
Publication date:
2021-12-13
Acceptance date:
2021-12-03
DOI:
EISSN:
1943-2631
ISSN:
0016-6731


Language:
English
Keywords:
Pubs id:
1222824
Local pid:
pubs:1222824
Deposit date:
2021-12-09

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