Bioinformatics Algorithms: an Active Learning Approach,Vol. 2 (2nd edition)

BIOINFORMATICS ALGORITHMS,VOL.II
BIOINFORMATICS ALGORITHMS,VOL.II
by 作者: Phillip Compeau - Pavel Pevzner
ISBN-10 书号: 0990374629
ISBN-13 书号: 9780990374626
Edition 版本: 2nd
Publisher Finelybook 出版日期: 2015
Pages: 320

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).
List of Code Challenges
About the Textbook
Chapter 7: Which Animal Gave Us SARS?
Chapter 8: How Did Yeast Become a Wine Maker?
Chapter 9: How Do We Locate Disease-Causing Mutations?
Chapter 10: Why Have Biologists Still Not Developed an HIV Vaccine?
Chapter 11: Was T.rex Just a Big Chicken?
Bibliography
Image Courtesies


下载地址:

Bioinformatics Algorithms an Active Learning Approach,Vol. 2 (2nd edition) 9780990374626.pdf

打赏
未经允许不得转载:finelybook » Bioinformatics Algorithms: an Active Learning Approach,Vol. 2 (2nd edition)

相关推荐

  • 暂无文章

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫打赏

微信扫一扫打赏