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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