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Bioinformatics for Biologists 1st , Kindle Edition


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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

'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

'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.' Dimitris Papamichail, SIGACT News

Book Description

A team of renowned bioinformaticians take fresh approaches to lead biology students from first principles towards computational thinking. Intuitive explanations promote deep understanding, using little mathematical formalism. Covering essential bioinformatic topics in a concise textbook, the authors prepare students to meet the computational challenges of their life science careers.

Product details

  • Format: Kindle Edition
  • File Size: 20483 KB
  • Print Length: 394 pages
  • Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
  • Publisher: Cambridge University Press; 1 edition (15 Sept. 2011)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00CF0K8Z0
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #1,848,185 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews on Amazon.com (beta) (May include reviews from Early Reviewer Rewards Program)

Amazon.com: 5.0 out of 5 stars 2 reviews
1 of 1 people found the following review helpful
5.0 out of 5 stars Great book! 10 April 2014
By Maggie - Published on Amazon.com
Format: Paperback 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.
16 of 21 people found the following review helpful
5.0 out of 5 stars Not enough stars! 27 Feb. 2012
By Graduate Researcher - Published on Amazon.com
Format: Paperback
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.
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