Skip to content
Register Sign in Wishlist

Computational Phylogenetics
An Introduction to Designing Methods for Phylogeny Estimation

£46.99

  • Author: Tandy Warnow, University of Illinois, Urbana-Champaign
  • Date Published: November 2017
  • availability: In stock
  • format: Hardback
  • isbn: 9781107184718

£ 46.99
Hardback

Add to cart Add to wishlist

Other available formats:
eBook


Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • A comprehensive account of both 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, meaning that students from many disciplines, including biology, computer science, statistics, and applied mathematics, will find the text accessible. The mathematical and statistical foundations of phylogeny estimation are presented rigorously, following which more advanced material is covered. This includes substantial chapters on multi-locus phylogeny estimation, supertree methods, multiple sequence alignment techniques, and designing methods for large-scale phylogeny estimation. The author provides key analytical techniques to prove theoretical properties about methods, as well as addressing performance in practice for methods for estimating trees. Research problems requiring novel computational methods are also presented, so that graduate students and researchers from varying disciplines will be able to enter the broad and exciting field of computational phylogenetics.

    • Offers a comprehensive introduction to the mathematical, statistical, and computational foundations of the broad topic of phylogenetics that is accessible to readers without graduate training
    • Includes substantial advanced material about current research in phylogeny estimation
    • Contains comprehensive coverage of multiple sequence alignment
    • Provides key analytical techniques to prove theoretical properties about methods
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: November 2017
    • format: Hardback
    • isbn: 9781107184718
    • length: 394 pages
    • dimensions: 253 x 177 x 22 mm
    • weight: 0.94kg
    • contains: 58 b/w illus. 8 colour illus. 11 tables 250 exercises
    • availability: In stock
  • 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.

  • Resources for

    Computational Phylogenetics

    Tandy Warnow

    General Resources

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.

    Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

    Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

    If you are having problems accessing these resources please contact lecturers@cambridge.org.

  • Author

    Tandy Warnow, University of Illinois, Urbana-Champaign
    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.

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×