R Programming for Bioinformatics

Robert Gentleman

July 14, 2008 by Chapman and Hall/CRC
Reference - 328 Pages - 2 B/W Illustrations
ISBN 9781420063677 - CAT# C6367
Series: Chapman & Hall/CRC Computer Science & Data Analysis


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  • Covers the fundamentals of the R language and object-oriented programming in R
  • Discusses XML, SOAP, and other data mark-up and web services languages and tools
  • Deals with many of the standard sequence similarity tools that play a prominent role in computational biology
  • Explores the interaction of R with other languages, such as C, FORTRAN, Perl, and Python
  • Explains how to write your own software packages and how to debug and profile R code
  • Contains complete source code on the book’s website
  • Summary

    Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems.

    Drawing on the author’s first-hand experiences as an expert in R, the book begins with coverage on the general properties of the R language, several unique programming aspects of R, and object-oriented programming in R. It presents methods for data input and output as well as database interactions. The author also examines different facets of string handling and manipulations, discusses the interfacing of R with other languages, and describes how to write software packages. He concludes with a discussion on the debugging and profiling of R code.

    With numerous examples and exercises, this practical guide focuses on developing R programming skills in order to tackle problems encountered in bioinformatics and computational biology.


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