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R Programming for Bioinformatics by Robert Gentleman: Used

US $12.80
Approximately£9.52
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eBay item number:403938140612
Last updated on 18 Apr, 2025 17:48:43 BSTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read, but is in good condition. Minimal damage to the book cover eg. ...
Book Title
R Programming for Bioinformatics
Publication Date
2008-07-01
Pages
326
ISBN
9781420063677

About this product

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1420063677
ISBN-13
9781420063677
eBay Product ID (ePID)
61648959

Product Key Features

Number of Pages
328 Pages
Language
English
Publication Name
R Programming for Bioinformatics
Subject
Programming Languages / General, Probability & Statistics / General
Publication Year
2008
Type
Textbook
Author
Robert Gentleman
Subject Area
Mathematics, Computers
Series
Chapman and Hall/Crc Computer Science and Data Analysis Ser.
Format
Hardcover

Dimensions

Item Height
0.9 in
Item Weight
20.8 Oz
Item Length
9.6 in
Item Width
6.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2008-011352
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
572.80285/5133
Table Of Content
Introducing R Motivation A note on the text R Language Fundamentals Data structures Managing your R session Language basics Subscripting and subsetting Vectorized computations Replacement functions Functional programming Writing functions Flow control Exception handling Evaluation Lexical scope Graphics Object-Oriented Programming in R The basics of OOP S3 OOP S4 OOP Using classes and methods in packages Documentation Debugging Managing S3 and S4 together Navigating the class and method hierarchy Input and Output in R Basic file handling Connections File input and output Source and sink: capturing R output Tools for accessing files on the Internet Working with Character Data Built-in capabilities Regular expressions Prefixes, suffixes and substrings Biological sequences Matching patterns Foreign Language Interfaces Calling C and FORTRAN from R Writing C code to interface with R Using the R API Loading libraries Advanced topics Other languages R Packages Package basics Package management Package authoring Initialization Data Technologies Using R for data manipulation Example Database technologies XML Bioinformatics resources on the WWW Debugging and Profiling The browser function Debugging in R Debugging C and other foreign code Profiling R code Managing memory References An Introduction appears at the beginning of each chapter.
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., Drawing on the author's first-hand experiences as an expert in R, this practical guide focuses on the programming skills needed to use R for the solution of bioinformatics and computational biology problems. It covers the fundamentals of the R language, object-oriented programming in R, and data mark-up and web services languages and tools. The author also examines different aspects of string handling and manipulations; discusses the interfacing of R with other languages, such as C, FORTRAN, Perl, and Python; and explains how to write software packages as well as debug and profile R code. The complete source code is available on the book's website.
LC Classification Number
QH324.2.G46 2008

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