Minggu, 22 April 2012

[H951.Ebook] Free PDF Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Vol. 1, by Phillip Compeau, Pavel Pevzner

Free PDF Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Vol. 1, by Phillip Compeau, Pavel Pevzner

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Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Vol. 1, by Phillip Compeau, Pavel Pevzner

Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Vol. 1, by Phillip Compeau, Pavel Pevzner



Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Vol. 1, by Phillip Compeau, Pavel Pevzner

Free PDF Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Vol. 1, by Phillip Compeau, Pavel Pevzner

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Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Vol. 1, by Phillip Compeau, Pavel Pevzner

This is Vol. 1 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).

  • Sales Rank: #506804 in Books
  • Published on: 2015
  • Binding: Paperback
  • 384 pages

Most helpful customer reviews

2 of 2 people found the following review helpful.
This book is best followed with the Bioinformatics Specialization courses at Coursera
By Ayaan H.
This book is best followed with the Bioinformatics Specialization courses at Coursera, and I have bought this book as offline companion for the same. I will give a more detailed review once I finish all the courses and complete this and Vol 2 (Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Vol. 2). The production values that have gone into designing this book is top notch, and the content is explained just about right to hold the attention of both biologists and computer scientists.

1 of 1 people found the following review helpful.
I really like this book
By Davo36
I really like this book, it's full of colourful diagrams and examples. Clear explanations and a fun way of explaining things.

I am also taking the related online Coursera course by UC San Diego and solving the programming problems online. Heaps of fun.

0 of 0 people found the following review helpful.
Five Stars
By Jorge Johnson
A very nice introduction to Bioinformatics Algorithms. High Quality Paper and colors.

See all 4 customer reviews...

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[H951.Ebook] Free PDF Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Vol. 1, by Phillip Compeau, Pavel Pevzner Doc
[H951.Ebook] Free PDF Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Vol. 1, by Phillip Compeau, Pavel Pevzner Doc

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