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Pavel A. Pevzner
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Bioinformatics for Biologists 1st Edition

by Pavel Pevzner (Editor), Ron Shamir (Editor)
3.9 out of 5 stars 6
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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.
Previous page
  1. ISBN-10
    1107648874
  2. ISBN-13
    978-1107648876
  3. Edition
    1st
  4. Publisher
    Cambridge University Press
  5. Publication date
    November 21, 2011
  6. Language
    English
  7. Dimensions
    7.75 x 0.75 x 9.75 inches
  8. Print length
    394 pages
  9. See all details
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Editorial Reviews

Review

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

Book Description

A team of renowned bioinformaticians take innovative approaches to lead biology students from first principles towards computational thinking.

Product details

  • Publisher ‏ : ‎ Cambridge University Press; 1st edition (November 21, 2011)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 394 pages
  • ISBN-10 ‏ : ‎ 1107648874
  • ISBN-13 ‏ : ‎ 978-1107648876
  • Item Weight ‏ : ‎ 1.7 pounds
  • Dimensions ‏ : ‎ 7.75 x 0.75 x 9.75 inches
  • Customer Reviews:
    3.9 out of 5 stars 6

About the author

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Pavel A. Pevzner

Pavel A. Pevzner

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Pavel Pevzner is a Distinguished Professor of Computer Science and Engineering at University of California San Diego (UCSD), where he holds the Ronald R. Taylor Chair. In 2006, he was named a Howard Hughes Medical Institute Professor. He authored and co-authored Computational Molecular Biology (The MIT Press, 2000), An Introduction to Bioinformatics Algorithms (The MIT Press, 2004), Bioinformatics Algorithms: An Active learning Approach (Active Learning Publishers, 2014), Learning Algorithms by Programming and Puzzle Solving (Active Learning Technologies), 2019), and co-edited Bioinformatics for Biologists (Cambridge University Press, 2011). He has been named a Fellow of the Association for Computing Machinery (ACM), International Society for Computational Biology (ISCB), and American Association for Advancement of Science (AAAS). He was awarded the ISCB Senior Scientist Award (2016) and the ACM Kanellakis Theory and Practice Award (2019). He co-developed the online specializations Bioinformatics (https://www.coursera.org/specializations/bioinformatics) and Algorithms (https://www.coursera.org/specializations/data-structures-algorithms) on Coursera.

Customer reviews

3.9 out of 5 stars
3.9 out of 5
6 global ratings

Top reviews from the United States

Maggie
5.0 out of 5 stars Great book!
Reviewed in the United States on April 10, 2014
Verified Purchase
I bought this for my bioinformatics class and I love it. In addition to the book there are slides online that provide supplementary information for each chapter which is great. This has made bioinformatics much more simple than I expected it to be. Each chapter can be read alone which makes the book versatile and great for a variety of classes. Even complicated ideas are presented in an easy to understand fashion, so people without a math or computer science background can understand the problem (even if they wouldn't know how to solve it without the help of the book). I highly recommend this book for any biologists (or CS ppl) who want to learn more about bioinformatics.
One person found this helpful
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Cliente de Kindle
5.0 out of 5 stars If you want a general panorama of what bioinformatics is ...
Reviewed in the United States on September 10, 2017
Verified Purchase
If you want a general panorama of what bioinformatics is about you should read this book
However it is not a practical one
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Graduate Researcher
5.0 out of 5 stars Not enough stars!
Reviewed in the United States on February 27, 2012
The first book that tries to uncover computational ideas behind modern bioinformatics. I see no shortage of books (or should I say manuals?) that treat me as a dummy and do not even try to explain what is under the hood of all these bioinformatics algorithms. After reading this book I finally understood how NGS fragment assemblers work and how genetic fingerprinting is done.
16 people found this helpful
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