Primer to Analysis of Genomic Data Using R

Cedric Gondro is Associate Professor of computational genetics at the University of New England. He has extensive experience in analysis of livestock projects using data from various genomic platforms. His main research interests are in the development of computational methods for optimization of biological problems; statistical and functional analysis methods for high throughput genomic data (expression arrays, SNP chips, sequence data); estimation of population genetic parameters using genome-wide data; and simulation of biological systems.

"The book is timely and practical, not only through its approach on data analysis, but also due to the numerous examples and further reading indications (including R packages and books) at the end of each chapter. The targeted audience consists of undergraduates and graduates with some experience in bioinformatics analyses. ... the style of the book can accommodate also researchers with a computing or biological background." (Irina Ioana Mohorianu, zbMATH 1327.92002, 2016)

• 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.