R Programming for Bioinformatics

Robert Gentleman

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English

CRC Press
14 July 2008

Probability & statistics; Biology, life sciences

Series: Chapman & Hall/CRC Computer Science & Data Analysis

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.

By: Robert Gentleman
Imprint: CRC Press
Country of Publication: United Kingdom
Volume: v. 13
Dimensions: Height: 234mm, Width: 156mm, Spine: 23mm
Weight: 600g
ISBN: 9781420063677
ISBN 10: 1420063677
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Pages: 328
Publication Date: 14 July 2008
Audience: Professional and scholarly , Undergraduate , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Introducing R. R Language Fundamentals. Object-Oriented Programming in R. Input and Output in R. Working with Character Data. Foreign Language Interfaces. R Packages. Data Technologies. Debugging and Profiling. References.

Reviews for R Programming for Bioinformatics

"""This is a very excellent book. … I think this is actually the best handbook on R programming that is currently available. … the nine chapters provide an indispensable handbook for R programmers, and an excellent textbook for a graduate course in R programming."" —Journal of Statistical Software"