The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Estimating Synonymous and Nonsynonymous Substitution Rates Under Realistic Evolutionary Models
Abstract
Approximate methods for estimating the numbers of synonymous and nonsynonymous substitutions between two DNA sequences involve three steps: counting of synonymous and nonsynonymous sites in the two sequences, counting of synonymous and nonsynonymous differences between the two sequences, and correcting for multiple substitutions at the same site. We examine complexities involved in those steps and propose a new approximate method that takes into account two major features of DNA sequence evolution: transition/transversion rate bias and base/codon frequency bias. We compare the new method with maximum likelihood, as well as several other approximate methods, by examining infinitely long sequences, performing computer simulations, and analyzing a real data set. The results suggest that when there are transition/transversion rate biases and base/codon frequency biases, previously described approximate methods for estimating the nonsynonymous/synonymous rate ratio may involve serious biases, and the bias can be both positive and negative. The new method is, in general, superior to earlier approximate methods and may be useful for analyzing large data sets, although maximum likelihood appears to always be the method of choice.
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Cites
Kimura, M. (1980) · Journal of Molecular Evolution · doi:10.1007/bf01731581 · Cited by 29,778
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Self-citationA codon-based model of nucleotide substitution for protein-coding DNA sequences.
(1994) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040153 · Cited by 1,960
Self-citationEstimating the pattern of nucleotide substitution
Yang, Z. (1994) · Journal of Molecular Evolution · doi:10.1007/bf00178256 · Cited by 1,076
Self-citationStatistical tests of models of DNA substitution
Goldman, N. (1993) · Journal of Molecular Evolution · doi:10.1007/bf00166252 · Cited by 736
Cited by
PAML 4: Phylogenetic Analysis by Maximum Likelihood
Yang, Z. (2007) · Molecular Biology and Evolution · doi:10.1093/molbev/msm088 · Cited by 13,879
Self-citationInitial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
Universal Patterns of Selection in Cancer and Somatic Tissues
Martincorena, I., Raine, K. M., Gerstung, M., Dawson, K. J., Haase, K., Van Loo, P., Davies, H., Stratton, M. R., & Campbell, P. J. (2017) · Cell · doi:10.1016/j.cell.2017.09.042 · Cited by 1,523
Molecular Signatures of Natural Selection
Nielsen, R. (2005) · Annual Review of Genetics · doi:10.1146/annurev.genet.39.073003.112420 · Cited by 1,641
Self-citationThe Population Genetics of dN/dS
Kryazhimskiy, S., & Plotkin, J. B. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000304 · Cited by 962
“[3,4,27–35]) in the context of dN/dS is qualitatively different from the classic model of two alleles under recurrent mutation [25].”
Background
Metadata
- Authors
- Yang, Z., & Nielsen, R.
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-01-01
- Volume
- 17
- Issue
- 1
- Pages
- 32-43
- ISSN
- 0737-4038 (ISSN-L)
- 1537-1719
- OpenAlex
- W2115011276
- Cited by
- 1,764
- References
- 7
- FWCI
- 10.14
- Type
- journal article
- Language
- en
- Open access
- closed
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