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Subject: Biology  Book Title: Parsimony, Phylogeny, and Genomics
Parsimony, Phylogeny, and Genomics
Albert, Victor A. (Editor), Natural History Museum, University of Oslo, Norway
Print publication date: 2006
Published to Oxford Scholarship Online: September 2007
Print ISBN-13: 978-0-19-929730-6
doi:10.1093/acprof:oso/9780199297306.001.0001
 
Abstract: Parsimony analysis (cladistics) has long been one of the most widely used methods of phylogenetic inference in the fields of systematic and evolutionary biology. Moreover, it has mathematical attributes that lend themselves for use with complex, genomic-sacle data sets. In this book, specialists review philosophical, statistical, methodological, and mathematical aspects of parsimony analysis, and demonstrate the potential that this powerful hierarchical data summarization method has for both structural and functional genomics research.

Keywords: cladistics, phylogenomics, systematics, evolutionary biology, likelihood, Dollo's law, Ockham's razor
Table of Contents
Preface
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CHAPTER 1. Parsimony and phylogenetics in the genomic age
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CHAPTER 2. What is the rationale for ‘Ockham's razor’ (a.k.a. parsimony) in phylogenetic inference?
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CHAPTER 3. Parsimony and its presuppositions
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CHAPTER 4. The logic of the data matrix in phylogenetic analysis
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CHAPTER 5. Alignment, dynamic homology, and optimization
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CHAPTER 6. Parsimony and the problem of inapplicables in sequence data
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CHAPTER 7. The limits of conventional cladistic analysis
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CHAPTER 8. Parsimony and Bayesian phylogenetics
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CHAPTER 9. Maximum parsimony and the phylogenetic information in multistate characters
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CHAPTER 10. Using phylogeny to understand genomic evolution
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CHAPTER 11. Dollo parsimony and the reconstruction of genome evolution
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Bibliography
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Index
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doi:10.1093/acprof:oso/9780199297306.001.0001
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I Philosophical aspects of parsimony analysis, including comparison with model-based approaches
II Parsimony, character analysis, and optimization of sequence characters
III Computational limits of parsimony analysis: from historical aspects to competition with fast model-based approaches
IV Mathematical attributes of parsimony
V Parsimony and genomics