WHO? WHAT?READ ALL ABOUT IT.

Finally, a book that treats computational biology with the care it deserves.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. Some of the material is available elsewhere, but rarely presented this clearly. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. I found myself making notes in the margins, which is always a good sign. An easy five stars from me. I look forward to whatever the author writes next.

I got a lot out of this, even if a few sections felt rushed.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The author is unusually honest about where the simplifications break down, which I appreciated. Solid, and I would buy another book from this author without hesitation.

Recommended, with the caveat that it is not a gentle introduction.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The code samples assume a particular environment, which took a bit of fiddling to get running properly. It is denser than the page count suggests, and I found myself slowing down around the middle. Four stars, and I suspect a second edition could easily push it to five.