Primer to Analysis of Genomic Data Using R

• Main Author: Gondro, Cedric (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Use R!,
• Subjects: Statistics.; Gene expression.; Microarrays.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics and Computing/Statistics Programs.; Gene Expression.

Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results...

Table of Contents:

• R basics
• Simple marker association tests
• Genome wide association studies
• Population and genetic architecture
• Gene expression analysis
• Databases and functional information
• Extending R
• Final comments
• Index
• References.