Molecular Data Analysis Using R

Molecular Data Analysis Using R addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students: "Biological Data Analysis with R" and "High-throughput Data Analysis with R" . The material is divided into chapters based upon the experimental methods used in the labs.

Key features include:
- Broad appeal – the authors target their material to researchers in several levels, ensuring that the basics are always covered.
- First book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology.
- Focuses on R and Bioconductor, which are widely used for data analysis. One great benefit of R and Bioconductor is that there is a vast user community and very active discussion in place, in addition to the practice of sharing codes. Further, R is the platform for implementing new analysis approaches, therefore novel methods are available early for R users.