While reading today I ran across a notice on Wiley’s German-based website that Viswanathan Arunachalam has a text on *Information Theory for Bioinformatics* which is scheduled to be released in June 2014.

From the publisher’s website, they provide the following synopsis:

This book discusses information theory as a means of extracting data from large amounts of biological sequences. Utilizing the Shannon theory, the book explains using the information theory principles to interpret sequences and extract vital information. It provides a detailed overview of the practical applications in bioinformatics and includes coverage of diversity in nucleotide and amino acid sequences, sing-nucleotide polymorphism (SNP) and indel sites, binding sites in promoter regions, splicing sites, and more.

If I can manage to get an early copy, I’ll provide a review shortly.

Initially I had presumed (given his areas of expertise and his prior publications including a text with the same publisher) that the author of the above mentioned book was at the Universidad Nacional de Colombia, BogotĂˇ / Universidad de los Andes. After a brief email exchange, it turns out (surprisingly to me) that, in fact, I was wrong. The serendipitous benefit is that the “wrong” Viswanathan Arunachalam has some excellent publications which are certainly worth looking into in the areas of probability, mathematics, bioinformatics, and mathematical biology. I’ve also taken a brief look at his text

Introduction to Probability and Stochastic Processes with Applications(Wiley, 2012) and can recommend it for those who are just starting out in probability.The original mistaken portion of the original blog post appears below. My apologies again for the mistake.