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R Programming for Bioinformatics

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Synopses & Reviews

Synopsis:

Written by the original developer of R

The Bioconductor Project was initiated in 2001 to provide a resource of R packages that specifically address bioinformatics problems. Written by the leader of this project and the original developer of the R software, Robert Gentlemen, Bioinformatics with R provides an overview of techniques to develop R programming skills for bioinformatics. The book presents comprehensive coverage of a broad range of key topics, including R language fundamentals, object-oriented programming in R, foreign language interfaces, building R packages, handling different data technologies, and debugging. It includes a number of detailed illustrative bioinformatics examples as well as exercises to demonstrate techniques.

Synopsis:

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.

Product Details

ISBN:
9781420063677
Author:
Gentleman, Robert
Publisher:
Chapman & Hall/CRC
Subject:
Probability & Statistics - General
Subject:
Bioinformatics
Subject:
R (Computer program language)
Subject:
Life Sciences - Biochemistry
Subject:
Programming Languages - General
Subject:
Computers Reference-Bioinformatics
Series:
Chapman & Hall/CRC Computer Science and Data Analysis
Publication Date:
20080731
Binding:
Hardcover
Language:
English
Illustrations:
Y
Pages:
314
Dimensions:
9.30x6.20x.90 in. 1.25 lbs.

Related Subjects

Computers and Internet » Computers Reference » Bioinformatics
Computers and Internet » Software Engineering » Programming and Languages
Health and Self-Help » Health and Medicine » General
Health and Self-Help » Health and Medicine » General Medicine
Science and Mathematics » Biology » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics
Science and Mathematics » Mathematics » Software

R Programming for Bioinformatics New Hardcover
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Product details 314 pages Chapman & Hall/CRC - English 9781420063677 Reviews:
"Synopsis" by , Written by the original developer of R

The Bioconductor Project was initiated in 2001 to provide a resource of R packages that specifically address bioinformatics problems. Written by the leader of this project and the original developer of the R software, Robert Gentlemen, Bioinformatics with R provides an overview of techniques to develop R programming skills for bioinformatics. The book presents comprehensive coverage of a broad range of key topics, including R language fundamentals, object-oriented programming in R, foreign language interfaces, building R packages, handling different data technologies, and debugging. It includes a number of detailed illustrative bioinformatics examples as well as exercises to demonstrate techniques.

"Synopsis" by , 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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