Practical Computing for Biologists

Steven H. D. Haddock

ISBN 10: 0878933913 / ISBN 13: 9780878933914

Published by Sinauer Associates, Inc., 2010

About this Item

To help with the increasingly large data sets that many scientists deal with, this book illustrates how to use many freely available computing tools to work more powerfully and effectively. The book was born out of the authors' experiences developing tools for their research and to fix other biologist's computational problems. Num Pages: 538 pages, Illustrations. BIC Classification: PDE; PS. Category: (P) Professional & Vocational. Dimension: 229 x 191 x 19. Weight in Grams: 1190. . 2010. First. Paperback. . . . .

Seller Inventory # V9780878933914

Bibliographic Details

• Title: Practical Computing for Biologists
• Publisher: Sinauer Associates, Inc.
• Publication Date: 2010
• Language: English
• ISBN 10: 0878933913
• ISBN 13: 9780878933914
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Shows how to use computing tools to work more powerfully and effectively

About the Author

Steven H.D. Haddock is a Research Scientist at the Monterey Bay Aquarium Research Institute and adjunct Associate Professor at the University of California, Santa Cruz, studying bioluminescence and biodiversity of gelatinous zooplankton. He started programming in BASIC on an Apple ][ and began his undergraduate studies in engineering before deciding to change fields. He took this programming background with him 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.

Casey W. Dunn, a Professor at Yale University, 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.