'UNIX and Perl to the Rescue! is a book I highly recommend for all those students, post-docs, and academics who are scared of programming but can benefit immensely from the power of Unix and scripting languages. It's time to come out of your shell.' Dr M. D. Sharma, Genetics Society News
'My chief regret about this book is that it wasn't available last year, when I was working with a group of life-science researchers. I could have persuaded them all to purchase a copy, thereby saving myself a great deal of the time I spent assisting with their data analysis tasks!' G. K. Jenkins, Computing Reviews
'Bradnam and Korf provide an intuitive and enjoyable volume that shows how to make the terminal window useful to scientists looking to build automation into data queries using UNIX and Perl scripting. With a thorough treatment of more than just the basics, this book fills a missing niche in the Perl and UNIX world with a focus on data processing. The authors have crafted a brilliant treatment of pattern searching with regular expressions to help the reader unleash some of the most powerful parts of the Perl programming language. For scientists looking to parse data files and extract the essential pieces this is a thorough and well explained [work] complete with sprinkles of humor and biologically motivated examples.' Jason Stajich, University of California, Riverside
'With their book on UNIX and Perl, scientists Bradnam and Korf have come to the aid of laboratory or field researchers floundering helplessly under overwhelming gigabytes of unstructured raw data. With a characteristic charming and chipper cheerfulness, the book quickly guides the readers through finding/installing a UNIX system of any variety … Highly recommended.' F. E. J. Linton, Choice
Written in a fun, accessible style, this step-by-step guide teaches non-programmers the key aspects of Unix and Perl. No prior experience is required and new concepts are introduced using code examples for readers to try themselves. Essential reading for those who want to work more effectively with large data sets.