Skip to content
Open global navigation

Cambridge University Press

AcademicLocation selectorSearch toggleMain navigation toggle
Cart

Your Cart

×

You have 0 items in your cart.

Register Sign in Wishlist

Bioinformatics for Biologists

$179.99 (C)

Pavel Pevzner, Ron Shamir, Vineet Bafna, Kun-Mao Chao, Phillip Compeau, Mikhail Gelfand, Christopher Lee, Andrei Grigoriev, Sridhar Hannenhalli, Haixu Tang, Steffen Heber, Brian Howard, Eugene Koonin, Pere Puigbò, Yuri Wolf, Jian Ma, Ran Libeskind-Hadas, Seung-Jil Sun, Tiffani Williams, Tandy Warnow, Nataša Pržulj, Russell Schwartz
View all contributors
  • Date Published: November 2011
  • availability: In stock
  • format: Hardback
  • isbn: 9781107011465

$179.99 (C)
Hardback

Add to cart Add to wishlist

Other available formats:
Paperback, eBook


Request examination copy

Instructors may request a copy of this title for examination

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • The computational education of biologists is changing to prepare students for facing the complex datasets of today's life science research. In this concise textbook, the authors' fresh pedagogical approaches lead biology students from first principles towards computational thinking. A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept. Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors – each a leading scientist – engage the students' problem-solving skills, preparing them to meet the computational challenges of their life science careers.

    • Written by leading experts with the support of the Bioinformatics Education Alliance
    • Intuitive explanations by top instructors lead biologists to computational thinking, promoting deep understanding
    • Covers a wide range of highly relevant bioinformatic issues, including the genetic basis of disease, genome evolution and the tree of life concept
    Read more

    Reviews & endorsements

    Pre-Publication Review:
    "This volume contains a remarkable collection of individually-authored chapters cutting a wide swathe across the field as it is currently constituted. What is noteworthy, aside from the wide angle of the snapshot of today's bioinformatics, something the editors promise to update in future editions, is the innovative and effective pedagogical emphasis apparent throughout.
    The editors set out to provide a resource for teaching bioinformatics to life science undergraduates, and this is reflected in the language, organization and mathematical restraint of the different chapters… It is highly suitable as a text or reference for bioinformatics courses at the graduate level, for biologists, medical students and computer scientists. Biological naïveté in thinking and writing plagues bioinformatics, and Pevzner and Shamir's Bioinformatics for Biologists offers a wonderful therapy for that condition as well as an effective palliative for life science students' math phobias."
    Professor David Sankoff, University of Ottawa

    Pre-Publication Review:
    "A serious and valuable effort to bring essential and much-needed training in the computational sciences to students of modern biology."
    Michael Waterman, University of Southern California

    "... a very well-written book that caters to the needs of a growing number of biology students who want to understand this important subject. Highly recommended."
    V. Mathura, Open University for Choice Magazine

    "This volume represents an excellent effort towards creating an interesting and useful introductory bioinformatics text. In its current form it may benefit computational scientists more than biologists, but has the potential to evolve into an invaluable resource for all bioinformaticists, independent of their primary field of study."
    y Dimitris Papamichail, University of Miami for SIGACT News

    See more reviews

    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 2011
    • format: Hardback
    • isbn: 9781107011465
    • length: 394 pages
    • dimensions: 254 x 203 x 22 mm
    • weight: 1.03kg
    • contains: 37 b/w illus. 105 colour illus. 4 tables
    • availability: In stock
  • Table of Contents

    Preface
    Acknowledgements
    Introduction Pavel Pevzner and Ron Shamir
    Part I. Genomes:
    1. Identifying the genetic basis of disease Vineet Bafna
    2. Pattern identification in a haplotype block Kun-Mao Chao
    3. Genome reconstruction: a puzzle with a billion pieces Phillip Compeau and Pavel Pevzner
    4. Dynamic programming: one algorithmic key for many biological locks Mikhail Gelfand
    5. Measuring evidence: who's your daddy? Christopher Lee
    Part II. Gene Transcription and Regulation:
    6. How do replication and transcription change genomes? Andrei Grigoriev
    7. Modeling regulatory motifs Sridhar Hannenhalli
    8. How does influenza virus jump from animals to humans? Haixu Tang
    Part III. Evolution:
    9. Genome rearrangements Steffen Heber and Brian Howard
    10. The crisis of the tree of life concept and the search for order in the phylogenetic forest Eugene Koonin, Pere Puigbò and Yuri Wolf
    11. Reconstructing the history of large-scale genomic changes: biological questions and computational challenges Jian Ma
    Part IV. Phylogeny:
    12. Figs, wasps, gophers, and lice: a computational exploration of coevolution Ran Libeskind-Hadas
    13. Big cat phylogenies, consensus trees, and computational thinking Seung-Jil Sun and Tiffani Williams
    14. Algorithm design for large-scale phylogeny Tandy Warnow
    Part V. Regulatory Networks:
    15. Biological networks uncover evolution, disease, and gene functions Nataša Pržulj
    16. Regulatory network inference Russell Schwartz
    Index.

  • Resources for

    Bioinformatics for Biologists

    Welcome to the resources site

    Here you will find free-of-charge online materials to accompany this book. The range of materials we provide across our academic and higher education titles are an integral part of the book package whether you are a student, instructor, researcher or professional.

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    *This title has one or more locked files and access is given only to instructors adopting the textbook for their class. We need to enforce this strictly so that solutions are not made available to students. To gain access to locked resources you either need first to sign in or register for an account.


    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email cflack@cambridge.org

  • Editors

    Pavel Pevzner, University of California, San Diego
    Pavel Pevzner is Ronald R. Taylor Professor of Computer Science and Director of the Bioinformatics and Systems Biology Program at the University of California, San Diego. He was named a Howard Hughes Medical Institute Professor in 2006.

    Ron Shamir, Tel-Aviv University
    Ron Shamir is the Raymond and Beverly Sackler Professor of Bioinformatics and Head of the Edmond J. Safra Bioinformatics Program at Tel Aviv University. He founded the joint Life Sciences/Computer Science undergraduate degree program in Bioinformatics at Tel Aviv University.

    Contributors

    Pavel Pevzner, Ron Shamir, Vineet Bafna, Kun-Mao Chao, Phillip Compeau, Mikhail Gelfand, Christopher Lee, Andrei Grigoriev, Sridhar Hannenhalli, Haixu Tang, Steffen Heber, Brian Howard, Eugene Koonin, Pere Puigbò, Yuri Wolf, Jian Ma, Ran Libeskind-Hadas, Seung-Jil Sun, Tiffani Williams, Tandy Warnow, Nataša Pržulj, Russell Schwartz

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 cflack@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 ×

Find content that relates to you

Back to top

Are you sure you want to delete your account?

This cannot be undone.

Cancel Delete

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.
×