Introduction to Bioinformatics with R: A Practical Guide for Biologists

by Edward Curry

"This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. Through the entire book, theoretical explanations are presented alongside step-by-step instructions for carrying out a number of widely-applicable data analysis tasks using freely available software. This book guides the reader through the basic principles of exploratory analysis and hypothesis testing in high-dimensional datasets, and the practicalities of installing statistical computing software and using this to handle different types of data tables"--

Unknown Binding

Published May 1, 2020

Reviews

[Marja · Rating 3 out of 5]

I found this book somewhat useful. There are chapters for different kinds of biological data (mostly genomic) and examples of analyses that can be done with R. A lot of it wasn't very relevant for me personally because I tend to work on just one type of data and the analyses demonstrated here were not so useful for me.

There are lots of mistakes and I'm not entirely sure if those are because the R packages and data files used in this book have been updated since the publication of this book or if the commands have been wrong all along. I think I wouldn't recommend this book to a complete R beginner because even though, I have used before R before, I wasn't always able to troubleshoot the errors, so reproducing the tutorials wasn't always possible and it irritated me a bit. Moreover, I wasn't always able to tell what the function was doing. I was copy-pasting the commands but sometimes it wasn't clear to me what it did and why the command had been constructed like it had been.

I appreciate the fact that this book has been written and the writing is clear and easy to follow, but personally I didn't find it as advantageous as I would have liked.