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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 itself for use with complex, genomic-scale data sets. This book demonstrates the potential that this powerful hierarchical data summarization method also has for both structural and functional comparative genomic research.
This book investigates the utility of parsimony analysis as a robust mathematical framework for interpreting complex, genomic-scale data sets in evolutionary biology. Victor Albert, a specialist in systematic and evolutionary biology, presents a technical argument for applying cladistic methods beyond traditional phylogeny. He demonstrates how hierarchical data summarization can be effectively utilized to address structural and functional questions within the field of comparative genomics.
What You Will Find
Experts recognize this work as a specialized technical resource that bridges traditional systematic biology with modern genomic analysis. Readers frequently note the high level of mathematical density and the specific focus on computational methodology for evolutionary research.
Page Count:
238
Publication Date:
2005-06-02
Publisher:
Oxford University Press
ISBN-10:
0198564937
ISBN-13:
9780198564935
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