The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
coancestry: a program for simulating, estimating and analysing relatedness and inbreeding coefficients
Abstract
The software package coancestry implements seven relatedness estimators and three inbreeding estimators to estimate relatedness and inbreeding coefficients from multilocus genotype data. Two likelihood estimators that allow for inbred individuals and account for genotyping errors are for the first time included in this user‐friendly program for PCs running Windows operating system. A simulation module is built in the program to simulate multilocus genotype data of individuals with a predefined relationship, and to compare the estimators and the simulated relatedness values to facilitate the selection of the best estimator in a particular situation. Bootstrapping and permutations are used to obtain the 95% confidence intervals of each relatedness or inbreeding estimate, and to test the difference in averages between groups.
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genalex 6: genetic analysis in Excel. Population genetic software for teaching and research
PEAKALL, R., & SMOUSE, P. E. (2006) · Molecular Ecology Notes · doi:10.1111/j.1471-8286.2005.01155.x · Cited by 16,589
Hardy, O. J., & Vekemans, X. (2002) · Molecular Ecology Notes · doi:10.1046/j.1471-8286.2002.00305.x · Cited by 3,557
ESTIMATING RELATEDNESS USING GENETIC MARKERS
Queller, D. C., & Goodnight, K. F. (1989) · Evolution · doi:10.1111/j.1558-5646.1989.tb04226.x · Cited by 3,032
New insights from fine‐scale spatial genetic structure analyses in plant populations
Vekemans, X., & Hardy, O. J. (2004) · Molecular Ecology · doi:10.1046/j.1365-294x.2004.02076.x · Cited by 1,313
Genotyping errors: causes, consequences and solutions
Pompanon, F., Bonin, A., Bellemain, E., & Taberlet, P. (2005) · Nature Reviews Genetics · doi:10.1038/nrg1707 · Cited by 1,200
Estimation of Pairwise Relatedness With Molecular Markers
Lynch, M., & Ritland, K. (1999) · Genetics · doi:10.1093/genetics/152.4.1753 · Cited by 1,186
ml‐relate: a computer program for maximum likelihood estimation of relatedness and relationship
KALINOWSKI, S. T., WAGNER, A. P., & TAPER, M. L. (2006) · Molecular Ecology Notes · doi:10.1111/j.1471-8286.2006.01256.x · Cited by 933
Non-invasive genetic sampling and individual identification
TABERLET, P. (1999) · Biological Journal of the Linnean Society · doi:10.1006/bijl.1999.0329 · Cited by 774
An Estimator for Pairwise Relatedness Using Molecular Markers
Wang, J. (2002) · Genetics · doi:10.1093/genetics/160.3.1203 · Cited by 754
Self-citationEstimators for pairwise relatedness and individual inbreeding coefficients
Ritland, K. (1996) · Genetical Research · doi:10.1017/s0016672300033620 · Cited by 752
Cited by
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Self-citationHoban, S., Archer, F. I., Bertola, L. D., Bragg, J. G., Breed, M. F., Bruford, M. W., Coleman, M. A., Ekblom, R., Funk, W. C., Grueber, C. E., et al. (2022) · Biological Reviews · doi:10.1111/brv.12852 · Cited by 282
Hanghøj, K., Moltke, I., Andersen, P. A., Manica, A., & Korneliussen, T. S. (2019) · GigaScience · doi:10.1093/gigascience/giz034 · Cited by 216
RAPID EVOLUTION CAUSED BY POLLINATOR LOSS IN MIMULUS GUTTATUS: RAPID EVOLUTION AFTER POLLINATOR LOSS
Bodbyl Roels, S. A., & Kelly, J. K. (2011) · Evolution · doi:10.1111/j.1558-5646.2011.01326.x · Cited by 203
Group structure and kinship in beluga whale societies
O’Corry-Crowe, G., Suydam, R., Quakenbush, L., Smith, T. G., Lydersen, C., Kovacs, K. M., Orr, J., Harwood, L., Litovka, D., & Ferrer, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-67314-w · Cited by 81
Metadata
- Authors
- WANG, J.
- Venue
- Molecular Ecology Resources
- Publisher
- Wiley
- Published
- 2010-12-13
- Volume
- 11
- Issue
- 1
- Pages
- 141-145
- ISSN
- 1755-098X (ISSN-L)
- 1755-0998
- OpenAlex
- W1643717963
- Cited by
- 890
- References
- 27
- FWCI
- 15.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- WANG, J. (2011). coancestry: a program for simulating, estimating and analysing relatedness and inbreeding coefficients. Molecular Ecology Resources. https://doi.org/10.1111/j.1755-0998.2010.02885.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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