In this age of informatics and genomics, the ability to mine and manipulate data is an essential skill for graduate students in ecology and evolutionary biology. Practical Computing for Biologists provides a much-needed guide to using Unix and Python to assemble and analyze large data sets. I'm looking forward to using this book as a text to accompany our quantitative bootcamp for new graduate students. --Michael Alfaro, University of California, Los Angeles, USA
For a committed point-and-clicker like myself, Practical Computing for Biologists is a most valuable book. It offers just the right introduction for those less computer savvy biologists who would like to enhance and streamline their ability to handle, process, and analyze data. This book has already made me more confident in confronting the large amounts of data that face me in day-to-day research. --Ronald Jenner, The Natural History Museum, London, UK
The book covers a wide range of subjects that truly justifies the title of ‘practical computing.’ In addition to the usual programming-related topics, it also includes a thorough introduction to the programming environment, approaches to combining different programs together, a description of the basic text manipulation tools such as regular expressions, and even an introduction to dealing with digital art and images. As such the book is great value for the money, being at least three books in one. --Olga G. Troyanskaya, Cell
My copy of Practical Computing for Biologists arrived last week, and I've been very impressed. It is a well-written, well-paced guide to basic computing skills for scientists and engineers of all stripes (not just biologists). … And it's beautifully produced: full-color printing and great graphical design make this book a joy to read. If I ever do turn Software Carpentry into a book, I might skip the topics PCB covers and just tell people to go and buy it. --Greg Wilson, software-carpentry.org --Ronald Jenner, The Natural History Museum, London, UK
About the Author
STEVEN HADDOCK is a Research Scientist at the Monterey Bay Aquarium Research Institute and adjunct Associate Professor at the University of California, Santa Cruz, USA, studying bioluminescence and biodiversity of gelatinous zooplankton. He came with a programming background to his graduate studies in Marine Biology, where he quickly realized the advantages that computing skills offered and felt compelled to help foster these abilities in others. He has developed many utilities and devices for research, including instruments to monitor bioluminescence from fireflies, a freezer monitoring system, a web-based conference registration database, and a PCR calculator for smartphones. In addition to teaching invertebrate zoology and writing a booklet to teach the technique of blue-water scuba diving, he has given tutorials in computing to students and administrators. His interest in education extends to his Bioluminescence Web Page (lifesci.ucsb.edu/~biolum/) and the Jellywatch.org citizen-science website (jellywatch.org).
CASEY DUNN, an Assistant Professor at Brown University, USA, does research that has a large computational component but always in conjunction with work in the field and lab. His first interest in computers stemmed from building electronics, and he further developed his computational skills working in Silicon Valley while an undergraduate. As his data sets grew larger and larger during grad school and his postdoc, he found himself reaching back to his computer background more often. In the course of his own research and helping other biologists with their computational challenges, he became concerned about the mismatch between training opportunities and the real day-to-day computational problems biologists face. In addition to teaching invertebrate biology, evolution, and development, his educational activities include the websites siphonophores.org and creaturecast.org. Dr. Dunn is the recipient of the National Science Foundation's 2011 Alan T. Waterman Award, which recognizes an outstanding young researcher in any field of science or engineering supported by NSF.