Omic Association Studies with R and Bioconductor
Author(s): Juan R. González, Alejandro Cáceres
After the great expansion of genome-wide association studies, their scientific methodology and, notably, their data analysis has matured in recent years, and they are a keystone in large epidemiological studies. Newcomers to the field are confronted with a wealth of data, resources and methods. This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools and guides the reader through the use of publicly available data. Includes clear, readable programming codes for readers to reproduce and adapt to their own data.
- Emphasises extracting biologically meaningful associations between traits of interest and genomic, transcriptomic and epigenomic data
- Uses up-to-date methods to exploit omic data
- Presents methods through specific examples and computing sessions
- Supplemented by a website, including code, datasets, and solutions
"This book is a good tool for self-learning analytical strategies for omics data. It requires previous knowledge of R and focuses on getting things done...I think the book would be a good reference for masters or PhD students that have to perform their analysis and need a starting point. Also, for the practicing statistician working with omics data."
- Victor Moreno, ISCB News, July 2020