Molecular Data Analysis Using R

Specifications

Book Description

The challenge that wet-lab researchers have with the statistical analysis of data linked to molecular biology is addressed in Molecular Data Analysis Using R (PDF), which offers a solution to these issues. The authors explain how to undertake an analysis of experimental data in the field of molecular biology using the programming languages R and Bioconductor. The material is based on two university courses that are intended for students majoring in bioinformatics and experimental biology (Biological Data Analysis with R and High-throughput Data Analysis with R). The work is broken up into chapters according to the many approaches to experimentation that were carried out in the laboratories.

The following are important features:

• Appeal to a wide audience because the authors write their content with researchers of varying expertise levels in mind while yet ensuring that the fundamentals are always covered.
• This is the first ebook that explains how to use R and Bioconductor for the analysis of a wide variety of different forms of experimental data in the field of molecular biology.
• Places a strong emphasis on the data analysis programs R and Bioconductor, both of which are very popular. The fact that R and Bioconductor both have sizable user communities that are engaged in vigorous conversation and that encourage the practice of code sharing is among the programs' many valuable features. R is the platform for applying new analysis approaches; as a result, novel methods are made available to R users far earlier than they are to users of other platforms.

PLEASE TAKE NOTE That the offer comes with a PDF version of the publication “Molecular Data Analysis Using R.” There is not an access code included.