review · Methods in molecular biology · 2008
Modeling Sequence Evolution
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Abstract
DNA and amino acid sequences contain information about both the phylogenetic relationships among species and the evolutionary processes that caused the sequences to divergence. Mathematical and statistical methods try to detect this information to determine how and why DNA and protein molecules work the way they do. This chapter describes some of the models of evolution of biological sequences most widely used. It first focuses on single nucleotide/amino acid replacement rate models. Then it discusses the modelling of evolution at gene and protein module levels. The chapter concludes with speculations about the future use of molecular evolution studies using genomic and proteomic data.
Cite this paper
Lió, P., & Bishop, M. J. (2008). Modeling Sequence Evolution. Methods in molecular biology, 452, 255–285. https://doi.org/10.1007/978-1-60327-159-2_13
Lió, Píetro, and Martin J. Bishop. “Modeling Sequence Evolution.” Methods in molecular biology, vol. 452, 2008, pp. 255–85, https://doi.org/10.1007/978-1-60327-159-2_13.
Lió, Píetro, and Martin J. Bishop. 2008. “Modeling Sequence Evolution.” Methods in molecular biology 452: 255–85. https://doi.org/10.1007/978-1-60327-159-2_13.
Lió, P. and Bishop, M.J. (2008) ‘Modeling Sequence Evolution’, Methods in molecular biology, 452, pp. 255–285. Available at: https://doi.org/10.1007/978-1-60327-159-2_13.
@article{lio2008modeling,
title = {{Modeling Sequence Evolution}},
author = {Lió, Píetro and Bishop, Martin J.},
journal = {Methods in molecular biology},
volume = {452},
pages = {255--285},
year = {2008},
doi = {10.1007/978-1-60327-159-2_13}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.