MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.
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M. Nei | Sudhir Kumar | K. Tamura | D. Peterson | N. Peterson | G. Stecher
[1] Sudhir Kumar,et al. Discovering the Timetree of Life , 2009 .
[2] Michael P. Cummings,et al. PAUP* [Phylogenetic Analysis Using Parsimony (and Other Methods)] , 2004 .
[3] T. Pupko,et al. Site-Specific Evolutionary Rate Inference: Taking Phylogenetic Uncertainty into Account , 2005, Journal of Molecular Evolution.
[4] F. Tajima,et al. Simple methods for testing the molecular evolutionary clock hypothesis. , 1993, Genetics.
[5] J. Felsenstein. CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP , 1985, Evolution; international journal of organic evolution.
[6] W. Fitch. An estimation of the number of invariable sites is necessary for the accurate estimation of the number of nucleotide substitutions since a common ancestor. , 1986, Progress in clinical and biological research.
[7] H. Kishino,et al. Dating of the human-ape splitting by a molecular clock of mitochondrial DNA , 2005, Journal of Molecular Evolution.
[8] Sudhir Kumar,et al. Incomplete taxon sampling is not a problem for phylogenetic inference , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[9] Walter M. Fitch,et al. A method for estimating the number of invariant amino acid coding positions in a gene using cytochrome c as a model case , 1967, Biochemical Genetics.
[10] Jack Sullivan,et al. Does choice in model selection affect maximum likelihood analysis? , 2008, Systematic biology.
[11] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[12] C. G. Schrago. An empirical examination of the standard errors of maximum likelihood phylogenetic parameters under the molecular clock via bootstrapping. , 2006, Genetics and molecular research : GMR.
[13] A. Oskooi. Molecular Evolution and Phylogenetics , 2008 .
[14] N. Saitou,et al. The neighbor-joining method: a new method for reconstructing phylogenetic trees. , 1987, Molecular biology and evolution.
[15] A. W. F. Edwards,et al. Statistical Inference. (Book Reviews: Likelihood. An Account of the Statistical Concept of Likelihood and Its Application to Scientific Inference) , 1973 .
[16] Joel Dudley,et al. MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences , 2008, Briefings Bioinform..
[17] M. Nei,et al. Prospects for inferring very large phylogenies by using the neighbor-joining method. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[18] Michael E Alfaro,et al. Comparative performance of Bayesian and AIC-based measures of phylogenetic model uncertainty. , 2006, Systematic biology.
[19] O. Gascuel,et al. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. , 2010, Systematic biology.
[20] David Posada,et al. MODELTEST: testing the model of DNA substitution , 1998, Bioinform..
[21] M. Nei,et al. Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. , 1993, Molecular biology and evolution.
[22] Ziheng Yang. Maximum likelihood phylogenetic estimation from DNA sequences with variable rates over sites: Approximate methods , 1994, Journal of Molecular Evolution.
[23] O Gascuel,et al. BIONJ: an improved version of the NJ algorithm based on a simple model of sequence data. , 1997, Molecular biology and evolution.
[24] Sudhir Kumar,et al. MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers , 1994, Comput. Appl. Biosci..
[25] Fitch Wm. An estimation of the number of invariable sites is necessary for the accurate estimation of the number of nucleotide substitutions since a common ancestor. , 1986 .
[26] Sudhir Kumar,et al. Fast and slow implementations of relaxed-clock methods show similar patterns of accuracy in estimating divergence times. , 2011, Molecular biology and evolution.
[27] Andrew Rambaut,et al. Seq-Gen: an application for the Monte Carlo simulation of DNA sequence evolution along phylogenetic trees , 1997, Comput. Appl. Biosci..
[28] Alexandros Stamatakis,et al. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models , 2006, Bioinform..
[29] Robert C. Edgar,et al. MUSCLE: a multiple sequence alignment method with reduced time and space complexity , 2004, BMC Bioinformatics.
[30] Jack Sullivan,et al. Assessment of substitution model adequacy using frequentist and Bayesian methods. , 2010, Molecular biology and evolution.
[31] O. Gascuel,et al. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. , 2003, Systematic biology.
[32] Thomas Ludwig,et al. RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees , 2005, Bioinform..
[33] Sudhir Kumar,et al. Heterogeneity of nucleotide frequencies among evolutionary lineages and phylogenetic inference. , 2003, Molecular biology and evolution.
[34] J. Felsenstein. Evolutionary trees from DNA sequences: A maximum likelihood approach , 2005, Journal of Molecular Evolution.
[35] Clifford M. Hurvich,et al. Regression and time series model selection in small samples , 1989 .
[36] M. Nei,et al. A new method of inference of ancestral nucleotide and amino acid sequences. , 1995, Genetics.
[37] A Rzhetsky,et al. Phylogenetic test of the molecular clock and linearized trees. , 1995, Molecular biology and evolution.
[38] E. Cohen,et al. Estimation of the number of nucleotide sequences in mouse DNA complementary to messenger RNAs specifying a complete mouse immunoglobulin. , 1976, Biochemistry.
[39] Sudhir Kumar,et al. The timetree of life , 2009 .
[40] D. Posada,et al. Model selection and model averaging in phylogenetics: advantages of akaike information criterion and bayesian approaches over likelihood ratio tests. , 2004, Systematic biology.
[41] Warren J. Ewens,et al. Likelihood: An account of the statistical concept of likelihood and its application to scientific inference. , 1973 .
[42] W. Fitch,et al. Evidence from nuclear sequences that invariable sites should be considered when sequence divergence is calculated. , 1989, Molecular biology and evolution.
[43] Ziheng Yang,et al. Computational Molecular Evolution , 2006 .
[44] William R. Taylor,et al. The rapid generation of mutation data matrices from protein sequences , 1992, Comput. Appl. Biosci..
[45] Joel Dudley,et al. Bioinformatics software for biologists in the genomics era , 2007, Bioinform..