- Paperback: 394 pages
- Publisher: Cambridge University Press (15 Sept. 2011)
- Language: English
- ISBN-10: 1107648874
- ISBN-13: 978-1107648876
- Product Dimensions: 18.9 x 2.1 x 24.6 cm
- Amazon Bestsellers Rank: 1,292,190 in Books (See Top 100 in Books)
- See Complete Table of Contents
Bioinformatics for Biologists Paperback – 15 Sep 2011
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'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
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.See all Product Description
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