Tandy Warnow (Urbana-Champaign University of Illinois)

Computational Phylogenetics

An Introduction to Designing Methods for Phylogeny Estimation

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 394
• Erscheinungstermin: 2. November 2017
• Englisch
• Abmessung: 250mm x 175mm x 25mm
• Gewicht: 935g
• ISBN-13: 9781107184718
• ISBN-10: 1107184711
• Artikelnr.: 48383266

Autorenporträt

Tandy Warnow is a Founder Professor of Engineering at the University of Illinois, Urbana-Champaign. Her awards include the National Science Foundation Young Investigator Award (1994), the David and Lucile Packard Foundation Award in Science and Engineering (1996), a Radcliffe Institute for Advanced Study Fellowship (2003), and a John Simon Guggenheim Memorial Foundation Fellowship (2011). She was elected a Fellow of the Association for Computing Machinery (ACM) in 2015, and of the International Society for Computational Biology (ISCB) in 2017.

Inhaltsangabe

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.