Introduction to Computational Cancer Biology

The clearest explanation of computational biology I have come across.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The author clearly knows the subject deeply and has thought hard about how to teach it. It is denser than the page count suggests, and I found myself slowing down around the middle. This is the book I wish had existed when I started working with computational biology.

A genuinely enjoyable read that also taught me a great deal.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. The author clearly knows the subject deeply and has thought hard about how to teach it. The code samples assume a particular environment, which took a bit of fiddling to get running properly. One of those books that pays for itself within the first few chapters. Highly recommended.

Well worth picking up if you already have the basics.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. There is a section near the end that ties several earlier ideas together in a way I had not seen before. The book rewards careful reading. Skimming it would be a mistake. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.