Description

Book Synopsis
A comprehensive account of basic and advanced material in phylogeny estimation, focusing on computational and statistical issues. No background in biology or computer science is assumed, and there is minimal use of mathematical formulas, making the book accessible to students from biology, computer science, statistics, and applied mathematics.

Table of Contents
Preface; Glossary; Notation; Part I. Basic Techniques: 1. Brief introduction to phylogenetic estimation; 2. Trees; 3. Constructing trees from true subtrees; 4. Constructing trees from qualitative characters; 5. Distance-based tree estimation methods; 6. Consensus and agreement trees; 7. Supertrees; Part II. Molecular Phylogenetics: 8. Statistical gene tree estimation methods; 9. Multiple sequence alignment; 10. Phylogenomics: constructing species phylogenies from multi-locus data; 11. Designing methods for large-scale phylogeny estimation; Appendix A. Primer on biological data and evolution; Appendix B. Algorithm design and analysis; Appendix C. Guidelines for writing papers about computational methods; Appendix D. Projects; References; Index.

Computational Phylogenetics

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    A Hardback by Tandy Warnow

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      Book details

      Published 11 February 2017
      ISBN-13 9781107184718
      978-1107184718
      ISBN-10 1107184711

      Description

      Book Synopsis
      A comprehensive account of basic and advanced material in phylogeny estimation, focusing on computational and statistical issues. No background in biology or computer science is assumed, and there is minimal use of mathematical formulas, making the book accessible to students from biology, computer science, statistics, and applied mathematics.

      Table of Contents
      Preface; Glossary; Notation; Part I. Basic Techniques: 1. Brief introduction to phylogenetic estimation; 2. Trees; 3. Constructing trees from true subtrees; 4. Constructing trees from qualitative characters; 5. Distance-based tree estimation methods; 6. Consensus and agreement trees; 7. Supertrees; Part II. Molecular Phylogenetics: 8. Statistical gene tree estimation methods; 9. Multiple sequence alignment; 10. Phylogenomics: constructing species phylogenies from multi-locus data; 11. Designing methods for large-scale phylogeny estimation; Appendix A. Primer on biological data and evolution; Appendix B. Algorithm design and analysis; Appendix C. Guidelines for writing papers about computational methods; Appendix D. Projects; References; Index.

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