R Programming for Bioinformatics

Zusatztext "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 Informationen zum Autor Robert Gentleman Klappentext From the co-developer of R and lead founder of the Bioconductor Project Thanks to its data handling and modeling capabilities and its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics builds the programming skills needed to use R for solving bioinformatics and computational biology problems. Drawing on the author's experiences as an R expert, 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. Zusammenfassung Due to its data handling and modeling capabilities as well as its flexibility, R is the most widely used software in bioinformatics. This title explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. It covers the general properties of the R language. Inhaltsverzeichnis 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.

"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

Autorentext
Robert Gentleman

Klappentext
From the co-developer of R and lead founder of the Bioconductor Project
Thanks to its data handling and modeling capabilities and its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics builds the programming skills needed to use R for solving bioinformatics and computational biology problems.
Drawing on the author's experiences as an R expert, 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.


Zusammenfassung
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.

Inhalt
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.

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