9780990374602-0990374602-Bioinformatics Algorithms: An Active Learning Approach by Phillip Compeau, Pavel Pevzner (2014) Paperback

Bioinformatics Algorithms: An Active Learning Approach by Phillip Compeau, Pavel Pevzner (2014) Paperback

ISBN-13: 9780990374602
ISBN-10: 0990374602
Author: Phillip Compeau
Publication date: 2014
Publisher: Active Learning Publishers
Format: Paperback 392 pages
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Book details

ISBN-13: 9780990374602
ISBN-10: 0990374602
Author: Phillip Compeau
Publication date: 2014
Publisher: Active Learning Publishers
Format: Paperback 392 pages

Summary

Bioinformatics Algorithms: An Active Learning Approach by Phillip Compeau, Pavel Pevzner (2014) Paperback (ISBN-13: 9780990374602 and ISBN-10: 0990374602), written by authors Phillip Compeau, was published by Active Learning Publishers in 2014. With an overall rating of 3.5 stars, it's a notable title among other Bioinformatics (Biological Sciences) books. You can easily purchase or rent Bioinformatics Algorithms: An Active Learning Approach by Phillip Compeau, Pavel Pevzner (2014) Paperback (Paperback) from BooksRun, along with many other new and used Bioinformatics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.62.

Description

This is the first edition of the textbook. The second edition (featuring two volumes) is now published and can be purchased from Amazon. Bioinformatics Algorithms: An Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of biology and computer science students alike. Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directl

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