Primer to Analysis of Genomic Data Using R

Cedric Gondro

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Language: English

Published by Springer, Palgrave Macmillan Jun 2015, 2015

331914474X / 9783319144740

Series: Book 46 of 68 - Use R!

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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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This item is printed on demand - Print on Demand Titel. Neuware -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 taught. A wide range of R packages useful for working with genomic data are illustrated with practical examples.The key topics covered are association studies, genomic prediction, estimation of population genetic parameters and diversity, gene expression analysis, functional annotation of results using publically available databases and how to work efficiently in R with large genomic datasets. Important principles are demonstrated and illustrated through engaging examples which invite the reader to work with the provided datasets. Some methods that are discussed in this volume include: signatures of selection, population parameters (LD, FST, FIS, etc); use of a genomic relationship matrix for population diversity studies; use of SNP data for parentage testing; snpBLUP and gBLUP for genomic prediction. Step-by-step, all the R code required for a genome-wide association study is shown: starting from raw SNP data, how to build databases to handle and manage the data, quality control and filtering measures, association testing and evaluation of results, through to identification and functional annotation of candidate genes. Similarly, gene expression analyses are shown using microarray and RNAseq data.At a time when genomic data is decidedly big, the skills from this book are critical. In recent years R has become the de factoSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch.…

Seller Inventory # 9783319144740

Title
Primer to Analysis of Genomic Data Using R
Author
Cedric Gondro
Publisher
Springer, Palgrave Macmillan Jun 2015
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
331914474X
ISBN 13
9783319144740
Item weight
441 grams
Dimensions
235x155x16 mm
Series
Book 46 of 68: Use R!

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

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