Logo - springer
Slogan - springer

Computer Science - Bioinformatics | Phenotypes and Genotypes - Search for Influential Genes

Phenotypes and Genotypes

Search for Influential Genes

Series: Computational Biology, Vol. 18

Frommlet, Florian, Bogdan, Małgorzata

2015, X, 290 p.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 

ISBN 978-1-4471-5310-8

digitally watermarked, no DRM

The eBook version of this title will be available soon


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
approx. $109.00

(net) price for USA

ISBN 978-1-4471-5309-2

free shipping for individuals worldwide

Due: December 5, 2015


add to marked items

  • Introduces the major concepts of Quantitative Trait Loci mapping
  • Discusses the methodology of Quantitative Trait Loci mapping in experimental populations
  • Describes the methods for Genome Wide Association Studies and related multiple testing and model selection problems
This book presents the methodology of association mapping in experimental populations and genome-wide association studies (GWAS). The main emphasis is placed on methods based on modifications of the Bayesian information criterion, designed specifically to handle multiple testing problems in large-scale genome scans for trait loci (TL). The book is written at the level of a graduate course for bioinformatics students. The first chapter introduces the major concepts of quantitative trait loci (QTL) mapping. The second chapter discusses the methodology of QTL mapping in experimental populations, with the main emphasis on the related issues of model selection in linear models. The approach is then extended to TL via generalized linear models. Chapter three describes the methods for GWAS and related multiple testing and model selection problems. In both chapters two and three the properties of QTL mapping methods are illustrated with computer simulations and real data analysis.

Content Level » Research

Keywords » Association Mapping - Genome Wide Association Studies (GWAS) - Quantitative Trait Loci (QTL) - Trait Loci (TL)

Related subjects » Bioinformatics - Life Sciences, Medicine & Health - Systems Biology and Bioinformatics

Popular Content within this publication 

 

Articles

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Biology / Bioinformatics.