Omic Association Studies with R and Bioconductor (Paperback)

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

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	December 2020
First published:	2019
Authors:	Juan R Gonzalez • Alejandro Caceres
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	376
ISBN-13:	978-0-367-72810-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	0-367-72810-9
Barcode:	9780367728106

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