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Coalescent simulation with msprime

Abstract:
Coalescent simulation is a fundamental tool in modern population genetics. The msprime library provides unprecedented scalability in terms of both the simulations that can be performed and the efficiency with which the results can be processed. We show how coalescent models for population structure and demography can be constructed using a simple Python API, as well as how we can process the results of such simulations to efficiently calculate statistics of interest. We illustrate msprime’s flexibility by implementing a simple (but functional) approximate Bayesian computation inference method in just a few tens of lines of code.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-1-0716-0199-0_9

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Big Data Institute
Role:
Author
ORCID:
0000-0002-7894-5253

Contributors

Role:
Editor


Publisher:
Springer
Host title:
Statistical Population Genomics
Journal:
Statistical Population Genomics More from this journal
Pages:
191-230
Series:
Methods in Molecular Biology
Series number:
2090
Publication date:
2020-01-24
DOI:
Pmid:
31975169
EISBN:
9781071601990
ISBN:
9781071601983


Language:
English
Keywords:
Pubs id:
1084460
Local pid:
pubs:1084460
Deposit date:
2020-02-21
ARK identifier:

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