Phylogenetic analysis of DNA sequences
著者
書誌事項
Phylogenetic analysis of DNA sequences
Oxford University Press, 1991
- : alk. paper
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
With increasing frequency, systematic and evolutionary biologists have turned to the techniques of molecular biology to complement their traditional morphological and anatomical approaches to questions of historical relationship and descent among groups of animals and plants. In particular, the comparative analysis of DNA sequences is becoming a common and important focus of research attention today.
This volume surveys the emerging field of molecular systematics of DNA sequences by focusing on the following topics: DNA sequence data acquisition; phylogenetic inference; congruence and consensus problems; limitations of molecular data; and integration of molecular and morphological data sets. The volume takes its inspiration from a major symposium sponsored by the American Society of Zoologists and the Society of Systematic Zoology in December, 1989.
目次
- 1. Phylogenetic inference, DNA sequence analysis, and the future of molecular systematics
- 2. DNA sequencing: strategy and methods to directly sequence large DNA molecules
- 3. The application of automated DNA sequence analysis to phylogenetic studies
- 4. Computer alignment of sequences
- 5. Aligning DNA sequences: homology and phylogenetic weighting
- 6. Relative efficiencies of different tree-making methods for molecular data
- 7. Compositional statistics evaluated by computer simulations
- 8. Weighted parsimony: does it work?
- 9. Testing the theory of descent
- 10. Parsimony and phylogenetic inference using DNA sequences: some methodological strategies
- 11. Evolutionary analysis of length-variable sequences: divergent domains of robosomal RNA
- 12. Statistical methods for testing molecular phylogenies
- 13. Discriminating between phylogenetic signal and random noise in DNA sequences
- 14. When are phylogeny estimates from morphological and molecular data incongruent?
- 15. Congruence among data sets: a Bayesian approach
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