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Bioinformatics for Biologists

$169.00

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
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  • Date Published: November 2011
  • availability: In stock
  • format: Hardback
  • isbn: 9781107011465

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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
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    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

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    Product details

    • Date Published: November 2011
    • format: Hardback
    • isbn: 9781107011465
    • length: 392 pages
    • dimensions: 252 x 195 x 22 mm
    • weight: 0.99kg
    • 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.

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    General ResourcesTextbook Websitewww.cambridge.org/B4Blinkn/aSort Ordertextbook website general resources textbook website general resources textbook website

    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

    Ron Shamir, 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

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