Skip to content
Register Sign in Wishlist

Computing for Biologists
Python Programming and Principles

£36.99

textbook
  • Date Published: November 2014
  • availability: In stock
  • format: Paperback
  • isbn: 9781107642188

£ 36.99
Paperback

Add to cart Add to wishlist

Other available formats:
Hardback, eBook


Request inspection copy

Lecturers may request a copy of this title for inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • Computing is revolutionizing the practice of biology. This book, which assumes no prior computing experience, provides students with the tools to write their own Python programs and to understand fundamental concepts in computational biology and bioinformatics. Each major part of the book begins with a compelling biological question, followed by the algorithmic ideas and programming tools necessary to explore it: the origins of pathogenicity are examined using gene finding, the evolutionary history of sex determination systems is studied using sequence alignment, and the origin of modern humans is addressed using phylogenetic methods. In addition to providing general programming skills, this book explores the design of efficient algorithms, simulation, NP-hardness, and the maximum likelihood method, among other key concepts and methods. Easy-to-read and designed to equip students with the skills to write programs for solving a range of biological problems, the book is accompanied by numerous programming exercises, available at www.cs.hmc.edu/CFB.

    • Easy-to-read and designed specifically for students in the life sciences, assuming little or no computing background
    • Teaches general and widely applicable Python (both versions 2 and 3) programming skills along with computational methods for solving real biological problems
    • Algorithms covered include gene finding, sequence alignment and phylogenetic methods, with an accompanying website providing a range of practical programming exercises
    Read more

    Reviews & endorsements

    'In my twenty years as a professor, I have never run across a textbook on bioinformatics algorithms that a biologist can read from cover to cover and understand. This is the one.' Pavel Pevzner, Ronald R. Taylor Distinguished Professor of Computer Science, University of California, San Diego

    'This is an awesome book for anyone to get into computing. It is easy to follow and clearly structured so the reader understands what they are learning and why. The book provides the fundamentals concepts of computational biology and bioinformatics in parallel to gaining actual skills in computing and the ability to write your own Python programs! What I love about the book is how the authors ensure the concepts and skills are applicable to a clear and defined biological problem. The authors help demystify the various topics and bring the reader to understand the algorithms behind the programming tools by applying these to resolve an actual biological problem. This book is also an excellent resource for those involved in training and education, and it provides plenty of exercise to use in the actual classroom.' Maria Victoria Schneider, The Genome Analysis Centre (TGAC), UK

    'There is a wide agreement that biological science curricula should change and that a better understanding of computational notions and practice is required, starting at undergraduate level. Only a handful of academic programs, and fewer textbooks, are offering such computational experience to life science students, beyond a general introductory programming course. Libeskind-Hadas and Bush take a novel, exciting approach to this challenge. They designed an introductory programming and computer science principles course, using Python, and built around a carefully selected suit of computational problems with a biological motivation. The book covers all basic notions and programming practices that are taught in standard CS introductory course, and even adds some advanced computational ideas. Most importantly, it will be far more friendly and relevant to the vast majority of life science students, who are likely to discover through it both the beauty of computer science and its relevance to their own discipline.' Benny Chor, Tel-Aviv University, Israel

    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 2014
    • format: Paperback
    • isbn: 9781107642188
    • length: 218 pages
    • dimensions: 247 x 190 x 10 mm
    • weight: 0.5kg
    • contains: 8 b/w illus. 33 colour illus. 1 table
    • availability: In stock
  • Table of Contents

    Preface
    Meet python
    Part I. Python versus Pathogens:
    1. Computing GC content
    2. Pathogenicity islands
    3. Open reading frames and genes
    4. Finding genes (at last!)
    Part II. Sequence Alignment and Sex Determination:
    5. Recursion
    6. The use-it-or-lose-it principle
    7. Dictionaries, memoization, and speed
    8. Sequence alignments and the evolution of sex chromosomes
    Part III. Phylogenetic Reconstruction and the Origin of Modern Humans:
    9. Representing and working with trees
    10. Drawing trees
    11. The UPGMA algorithm
    Part IV. Additional Topics:
    12. RNA secondary structure prediction
    13. Gene regulatory networks and the maximum likelihood method
    14. Birds, bees, and genetic algorithms
    Where to go from here
    Index.

  • Resources for

    Computing for Biologists

    Ran Libeskind-Hadas, Eliot Bush

    General Resources

    Lecturer Resources

    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 lecturers 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 lecturers@cambridge.org

  • Authors

    Ran Libeskind-Hadas, Harvey Mudd College, California
    Ran Libeskind-Hadas is the R. Michael Shanahan Professor of Computer Science at Harvey Mudd College, USA, working in the areas of algorithms and computational biology. He is a recipient of both the Iris and Howard Critchell Professorship and the Joseph B. Platt Professorship for teaching, as well as the Distinguished Alumni Educator Award from the University of Illinois, Urbana-Champaign Department of Computer Science.

    Eliot Bush, Harvey Mudd College, California
    Eliot Bush is Associate Professor of Biology at Harvey Mudd College, USA. His main research interest is the study of evolution. Among other things he has modeled the evolution of metabolism, characterized DNA methylation patterns in insects, developed algorithms for studying substitution bias in DNA, and analyzed a 30-million-year-old primate fossil. His teaching interests focus on incorporating computers and programming assignments into biology coursework.

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.
×