Bioinformatics algorithms : an active learning approach / Phillip Compeau and Pavel Pevzner.

Bioinformatics Algorithms: an Active Learning Approach is 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 MOOC on Coursera, this book presents students with a dynamic approach to...

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Bibliographic Details
Main Authors: Compeau, Phillip (Author)
Pevzner, Pavel (Author)
Language:English
Published: La Jolla, CA : Active Learning Publishers, [2014]
Subjects:
Physical Description:xxii, 362 pages : illustrations, maps ; 23 cm
Format: Book

MARC

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100 1 |a Compeau, Phillip,  |e author.  |0 http://id.loc.gov/authorities/names/n2016005548 
245 1 0 |a Bioinformatics algorithms :  |b an active learning approach /  |c Phillip Compeau and Pavel Pevzner. 
260 |a La Jolla, CA :  |b Active Learning Publishers,  |c [2014] 
300 |a xxii, 362 pages :  |b illustrations, maps ;  |c 23 cm 
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504 |a Includes bibliographical references (pages 357-362) and index. 
505 0 |a Where in the genome does DNA replication begin? -- How do we sequence antibiotics? -- Which DNA patterns play the role of molecular clocks? -- How do we assemble genomes? -- How do we compare biological sequences? -- Are there fragile regions in the human genome? -- How do we locate disease-causing mutations?. 
520 |a Bioinformatics Algorithms: an Active Learning Approach is 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 MOOC on Coursera, 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 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 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. A website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides.--Book website. 
650 0 |a Bioinformatics  |x Mathematics.  |0 http://id.loc.gov/authorities/subjects/sh00003585 
650 0 |a Computational biology.  |0 http://id.loc.gov/authorities/subjects/sh2003008355 
650 0 |a Computer algorithms.  |0 http://id.loc.gov/authorities/subjects/sh91000149 
700 1 |a Pevzner, Pavel,  |e author.  |0 http://id.loc.gov/authorities/names/no98112447 
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