Journal article
Efficient pedigree recording for fast population genetics simulation
- Abstract:
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In this paper we describe how to efficiently record the entire genetic history of a population in forwards-time, individual-based population genetics simulations with arbitrary breeding models, population structure and demography. This approach dramatically reduces the computational burden of tracking individual genomes by allowing us to simulate only those loci that may affect reproduction (those having non-neutral variants). The genetic history of the population is recorded as a succinct tr...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 1.1MB)
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- Publisher copy:
- 10.1371/journal.pcbi.1006581
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Authors
Funding
Sloan Foundation
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National Science Foundation
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United States Fish and Wildlife Service
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Bibliographic Details
- Publisher:
- Public Library of Science Publisher's website
- Journal:
- PLoS Computational Biology Journal website
- Volume:
- 14
- Issue:
- 11
- Pages:
- e1006581
- Publication date:
- 2018-10-08
- Acceptance date:
- 2018-11-01
- DOI:
- EISSN:
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1553-7358
- ISSN:
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1553-734X
- Pmid:
-
30383757
- Source identifiers:
-
936582
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:936582
- UUID:
-
uuid:51b6a415-fe41-4375-bb74-d2a5338e455a
- Local pid:
- pubs:936582
- Deposit date:
- 2018-12-06
Terms of use
- Copyright holder:
- Kelleher et al
- Copyright date:
- 2018
- Notes:
- © 2018 Kelleher et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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