on 22 March 2009
This is a great little book. OK, there are plenty of other places to get information about using Perl, R and MySQL for bioinformatics, but this is the book that gets you started on that road and shows you how everything fits together. You can actually write useful bioinformatics tools after working through this book.
on 20 February 2011
This book covers MYSQL, PERL, and R. It introduces each theme, and uses relevant bioinformatic examples. In the final chapters, it ties together all three softwares, and teaches to combine them. The book is a nice primer, and a great place to start if you have little experience in bioinformatics. The book doesn't really go in depth, and do not cover very advanced topics (but this is not the point of the book, and it points you to very nice resources). The authors use good examples from working with databases, and manipulating sequence.
I guess it would be perfect for an introductory course in Bioinformatics.
on 21 March 2010
I used this book as my bible during my MSc assignments and group project. It gives a nice informative introduction for each tool then works through towards developing advanced bioinformatics applications.
This book presents a well-written and complete overview of bioinformatics software development using Perl, R and MySQL.
The book is divided into 5 chapters. The first chapter begins with an interesting introduction on various bioinformatics resources and applications. This is followed by useful and descriptive chapters on MySQL, Perl, R and web programming.
A highlight of the book is it's well-structured layout. For each chapter, there is easy introduction followed by concise explanations to developing advanced bioinformatics applications and well commented examples of code plus accompanying online resources in .
As this book is titled "Building Bioinformatics Solutions: with Perl, R and MySQL", and it does cover its ground very well, plus there is no assumtion of prior knowledge on software development - hence, it is also suitable for those with minimal programming experience.
In conclusion, this book is a very valuable resource for software development in bioinformatics, both for those that are already working in this domain and for those desiring to do so. It is also appropriate as a general introduction into the area of bioinformatics for interested and literate non-specialists.