Bioinformatics for Biologists By Cambridge University [PDF]

The computational education of biologists is changing to prepare students for facing the complex datasets of today's life science research. In this concise textbook, the authors' fresh pedagogical approaches lead biology students from first principles towards computational thinking.

A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept.

Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors - each a leading scientist - engage the students' problem-solving skills, preparing them to meet the computational challenges of their life science careers.

"A serious and valuable effort to bring essential and much-needed training in the computational sciences to students of modern biology."
--Michael Waterman, University of Southern California

"...a very well-written book that caters to the needs of a growing number of biology students who want to understand this important subject. Highly recommended."
--V. Mathura, Open University for Choice Magazine

Pavel Pevzner is Ronald R. Taylor Professor of Computer Science and Director of the Bioinformatics and Systems Biology Program at the University of California, San Diego. He was named a Howard Hughes Medical Institute Professor in 2006.

Ron Shamir is the Raymond and Beverly Sackler Professor of Bioinformatics and Head of the Edmond J. Safra Bioinformatics Program at Tel Aviv University. He founded the joint Life Sciences/Computer Science undergraduate degree program in Bioinformatics at Tel Aviv University.