With the detailed genomic information that is now becoming available, we havea plethora of data that allows researchers to address questions in a variety of areas. Genome-wide association studies (GWAS) have become a vital approach to identify candidate regions associated with complex diseases in human medicine, production traits in agriculture, and variation in wild populations. Genomic prediction goes a step further, attempting to predict phenotypic variation in these traits from genomic information. Genome-Wide Association Studies and Genomic Prediction pulls together expert...
With the detailed genomic information that is now becoming available, we havea plethora of data that allows researchers to address questions in a vari...
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. Though theory plays an important role, this is a practical book for graduate and undergraduate courses in bioinformatics and genomic analysis or for use in lab sessions. How to handle and manage high-throughput genomic data, create automated workflows and speed up analyses in R is also...
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 ana...
This Methods in Molecular Biology(TM) book covers phenotypes of interest as well as design issues for GWAS, methods for storing and handling large datasets, quality control measures, haplotype inference, and imputation and statistical approaches to data analysis.
This Methods in Molecular Biology(TM) book covers phenotypes of interest as well as design issues for GWAS, methods for storing and handling large dat...
