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Mathematical model for studying genetic variation in terms of restriction endonucleases.
Open accessAbstract
A mathematical model for the evolutionary change of restriction sites in mitochondrial DNA is developed. Formulas based on this model are presented for estimating the number of nucleotide substitutions between two populations or species. To express the degree of polymorphism in a population at the nucleotide level, a measure called "nucleotide diversity" is proposed.
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Cited by
Thiel, T., Michalek, W., Varshney, R., & Graner, A. (2003) · Theoretical and Applied Genetics · doi:10.1007/s00122-002-1031-0 · Cited by 2,535
Cruickshank, T. E., & Hahn, M. W. (2014) · Molecular Ecology · doi:10.1111/mec.12796 · Cited by 1,061
Insights into human genetic variation and population history from 929 diverse genomes
Bergström, A., McCarthy, S. A., Hui, R., Almarri, M. A., Ayub, Q., Danecek, P., Chen, Y., Felkel, S., Hallast, P., Kamm, J., et al. (2020) · Science · doi:10.1126/science.aay5012 · Cited by 1,020
Finding the genomic basis of local adaptation: pitfalls, practical solutions, and future directions
Hoban, S., Kelley, J. L., Lotterhos, K. E., Antolin, M. F., Bradburd, G., Lowry, D. B., Poss, M. L., Reed, L. K., Storfer, A., & Whitlock, M. C. (2016) · The American Naturalist · doi:10.1086/688018 · Cited by 876
Olm, M. R., Crits-Christoph, A., Bouma-Gregson, K., Firek, B. A., Morowitz, M. J., & Banfield, J. F. (2021) · Nature Biotechnology · doi:10.1038/s41587-020-00797-0 · Cited by 537
Metadata
- Authors
- Nei, M., & Li, W. H.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1979-10
- Volume
- 76
- Issue
- 10
- Pages
- 5269-5273
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1984390786
- Cited by
- 10,402
- References
- 0
- FWCI
- 10.94
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.