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

    3 in stock


      View other formats and editions of Computational Phylogenetics by Tandy Warnow

      Publisher: Cambridge University Press
      Publication Date: 11/2/2017 12:00:00 AM
      ISBN13: 9781107184718, 978-1107184718
      ISBN10: 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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