Customer Reviews

Systems Bioinformatics: An Engineering Case-Based Approach

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I came across this book while I was looking for a resource that showed how one can contribute one's engineering talent in biology. The book starts with a molecular biology section. Then the book looks at biology from engineering perspectives: control theory, network analysis, and signal processing. The book also talks about synthetic biology, and finishes off with topics at the horizon of bioengineering research. I think it is an impressive, cohesive text even though it covers complex topics within the intersection of molecular biology, computer science, and engineering (especially electrical and chemical engineering). Alterovitz and Ramoni appear to have gotten these topics into one book by working with a group of experts from around the world.

Pro: In addition to what I've already said, I like how the book comes with a CD. The nice thing about the software is that not only is it at my fingertips, but I can be assured that I'm using the same version (with the same functionality) that the text refers to. The other nice thing about the CD is that most if not all the figures are on the CD. I'm thinking of using a few in future presentations for class, research etc.

Con: I had a hard time chasing down a copy in bookstores, and I needed it for my research.

You should get this book if you're serious about learning about systems bioinformatics.

I found this book to be an extremely valuable resource for applying quantitative methods to modern biology. As someone working in bioinformatics with a statistical background and a keen interest in applying my strengths to the emerging field of synthetic biology - basically, control and construction of living systems - this book is wonderful for me.

The book begins with a simple introduction to the basics of molecular biology. It proceeds to work through a multitude of engineering approaches to biological systems. Although I am not an engineer, these approaches all make perfect sense to me in their more general quantitative context.

This book is ideal for you if you have an interest in the application of math and computation to biology; this book is written by leading academics around the globe to offer top-notch expertise on this topic. If you would prefer a non-mathematical introduction, however, I would not personally recommend this work.