R. Gentleman – Bioinformatics and Computational Biology Solutions Using R (2005)

Автор: R. Gentleman
Название книги: Bioinformatics and Computational Biology Solutions Using R
Формат: PDF
Жанр: Биоинформатика
Страницы: 492
Качество: Изначально компьютерное, E-book

Full four-color book.

Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R.

All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies.

Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.

During the past few years, there have been enormous advances in genomics
and molecular biology, which carry the promise of understanding
the functioning of whole genomes in a systematic manner. The challenge
of interpreting the vast amounts of data from microarrays and other high
throughput technologies has led to the development of new tools in the
fields of computational biology and bioinformatics, and opened exciting
new connections to areas such as chemometrics, exploratory data analysis,
statistics, machine learning, and graph theory.
The Bioconductor project is an open source and open development software
project for the analysis and comprehension of genomic data. It is
rooted in the open source statistical computing environment R. This book’s
coverage is broad and ranges across most of the key capabilities of the
Bioconductor project. Thanks to the hard work and dedication of many
developers, a responsive and enthusiastic user community has formed. Although
this book is self-contained with respect to the data processing and
data analytic tasks covered, readers of this book are advised to acquaint
themselves with other aspects of the project by touring the project web
site www.bioconductor.org.
This book represents an innovative approach to publishing about scientific
software. We made a commitment at the outset to have a fully
computable book. Tables, figures, and other outputs are dynamically generated
directly from the experimental data. Through the companion web
site, www.bioconductor.org/mogr, readers have full access to the source
code and necessary supporting libraries and hence will be able to see how
every plot and statistic was computed. They will be able to reproduce those
calculations on their own computers and should be able to extend most of
those computations to address their own needs.