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Overview
Working on the assumption that the reader has no formal training in programming, Perl Programming for Biologists demonstrates how Perl is used to solve biological problems. Each chapter opens with a set of learning objectives, provides numerous review questions and self-study exercises, and concludes with a bulleted summary of key points. The author incorporates numerous real-life examples throughout the text. Upon completing the book, readers are able to quickly perform such tasks as correcting recurring errors in spreadsheets, scanning a Fasta sequence for every occurrence of an EcoRI site, adapting other writers' scripts to one's own purposes, and most important, writing reusableand maintainable scripts that spare the rote repetition of code.Synopsis
Assuming readers have had no formal training in computer science, Jamison (genomics and informatics, George Mason U.) uses examples of problems faced by biologists to introduce the most widely used scripting language in bioinformatics. Readers learn how to correct recurring errors in spreadsheets, scan a Fasta sequence for every occurrence of an EcoRI site, adapt other writer's scripts, and write reusable and maintainable scripts. Annotation ©2003 Book News, Inc., Portland, OR
Editorials
From the Publisher
"This well written book illustrates PERL with examples…Those with less or no programming skills should read this book before attempting the practice of bioinformatics ideas." (Journal of Statistical Computation & Simulation, January 2005)"…the book is useful to biologists who already use languages like C+ or Visual Basic and want to learn Perl." (Biomolecular Engineering, November 2004)
“…written in a pleasant chatty style with obvious enthusiasm for the topic” (Robotica, Vol. 22, 2004)
“...unique and I highly recommend it as a first book on programming for biology-oriented professionals interested in using perl...excellent for self-study...can also be a great resource as classroom material...” (Clinical Chemistry, Vol. 50, No. 2, 2004)
"...not be surprised to see [it] finding a space on the bookshelves in many biological laboratories in the near future." (Briefings in Bioinformatics, Vol 5(1), March 2004)