Introduction to Computational Cancer Biology

Good in places. I would borrow it before buying if you can.

I had been on the fence about this one for a while, and I should have bought it sooner. Some terminology is introduced without much ceremony; I had to look a few things up along the way. I found myself making notes in the margins, which is always a good sign. Borrow it first if you can, or at least check the table of contents carefully before buying.

Solid and well-organised. A couple of chapters dragged a little.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The author is unusually honest about where the simplifications break down, which I appreciated. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

Very good, with a few caveats. The core material is strong.

This is the third book I have read on computational biology this year, and it is comfortably the best of them. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The writing is direct and does not waste space on filler, which I value in a technical book. The code samples assume a particular environment, which took a bit of fiddling to get running properly. Recommended, with the caveat that it is not a gentle introduction.