9780990374626-0990374629-BIOINFORMATICS ALGORITHMS,VOL.II

BIOINFORMATICS ALGORITHMS,VOL.II

ISBN-13: 9780990374626
ISBN-10: 0990374629
Edition: 2nd
Author: Pavel Pevzner, Phillip Compeau
Publication date: 2015
Publisher: Active Learning Publishers
Format: Paperback 320 pages
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Book details

ISBN-13: 9780990374626
ISBN-10: 0990374629
Edition: 2nd
Author: Pavel Pevzner, Phillip Compeau
Publication date: 2015
Publisher: Active Learning Publishers
Format: Paperback 320 pages

Summary

BIOINFORMATICS ALGORITHMS,VOL.II (ISBN-13: 9780990374626 and ISBN-10: 0990374629), written by authors Pavel Pevzner, Phillip Compeau, was published by Active Learning Publishers in 2015. With an overall rating of 4.4 stars, it's a notable title among other Bioinformatics (Biological Sciences) books. You can easily purchase or rent BIOINFORMATICS ALGORITHMS,VOL.II (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 $2.09.

Description

This title is currently out of print. The third edition of Bioinformatics Algorithms has been released! This is Vol. 2 of Bioinformatics Algorithms: an Active Learning Approach, one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed Bioinformatics Specialization on Coursera (http://coursera.org/specialization/bioinformatics/34), 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 students of both biology and computer science. Each chapter begins with a 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 directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track (http://rosalind.info/problems/list-view/?location=bioinformatics-textbook-track).

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