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Get Free Ebook Bioinformatics for Biologists

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Get Free Ebook Bioinformatics for Biologists

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Bioinformatics for Biologists

Bioinformatics for Biologists


Bioinformatics for Biologists


Get Free Ebook Bioinformatics for Biologists

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Bioinformatics for Biologists

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 OttawaPre-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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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.

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Product details

Paperback: 394 pages

Publisher: Cambridge University Press; 1 edition (November 21, 2011)

Language: English

ISBN-10: 1107648874

ISBN-13: 978-1107648876

Product Dimensions:

7.4 x 0.7 x 9.6 inches

Shipping Weight: 1.8 pounds (View shipping rates and policies)

Average Customer Review:

5.0 out of 5 stars

3 customer reviews

Amazon Best Sellers Rank:

#1,281,625 in Books (See Top 100 in Books)

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.

If you want a general panorama of what bioinformatics is about you should read this bookHowever it is not a practical one

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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