Bioinformatics Algorithms: An Active Learning Approach, Volumen 2

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Active Learning Publishers, 2014 - 362 páginas
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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--

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Sobre el autor (2014)

Phillip Compeau is a Ph.D. candidate in the University of California, San Diego (UCSD) Department of Mathematics. He is an Achievement Rewards for College Scientists Scholar. He holds Mas- ter's degrees from Cambridge University and UCSD in addition to a Bachelor's degree from Davidson College. He researches the combi- natorics of genome rearrangements and is passionate about the future of education, having cofounded Rosalind with Nikolay Vyahhi. A retired tennis player, he dreams of one day going pro in golf.

Pavel Pevzner is Ronald R. Taylor Professor of Computer Science at the University of California, San Diego. He holds a Ph.D. from Moscow Institute of Physics and Technology, Russia. He is a Howard Hughes Medical Institute Alumnus Professor (2006), an Association for Computing Machinery Fellow (2010), and an International Soci- ety for Computational Biology Fellow (2012). He has authored the textbooks Computational Molecular Biology: An Algorithmic Approach (2000) and An Introduction to Bioinformatics Algorithms (2004) (jointly with Neil Jones).

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