Principles of Statistical Genomics

  • Shizhong¬†Xu

Table of contents

  1. Front Matter
    Pages i-xv
  2. Genetic Linkage Map

    1. Front Matter
      Pages 1-1
    2. Shizhong Xu
      Pages 3-10
    3. Shizhong Xu
      Pages 11-22
    4. Shizhong Xu
      Pages 23-33
    5. Shizhong Xu
      Pages 35-49
  3. Analysis of Quantitative Traits

    1. Front Matter
      Pages 51-51
    2. Shizhong Xu
      Pages 53-60
    3. Shizhong Xu
      Pages 61-78
    4. Shizhong Xu
      Pages 79-93
    5. Shizhong Xu
      Pages 109-129
    6. Shizhong Xu
      Pages 131-149
    7. Shizhong Xu
      Pages 151-170
    8. Shizhong Xu
      Pages 171-185
    9. Shizhong Xu
      Pages 187-207
    10. Shizhong Xu
      Pages 209-222
    11. Shizhong Xu
      Pages 223-256
    12. Shizhong Xu
      Pages 257-279
  4. Microarray Data Analysis

    1. Front Matter
      Pages 281-281

About this book


Statistical genomics is a rapidly developing field, with more and more people involved in this area. However, a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdle to the development of the field. Although many books have been published recently in bioinformatics, most of them emphasize DNA sequence analysis under a deterministic approach.

Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies (stochastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data.

Resourceful and easy to use, Principles of Statistical Genomics is a comprehensive reference for researchers and graduate students studying statistical genomics. 


currentjks genomics statistical genomics statistical methodology Quantitative Genetics

Authors and affiliations

  • Shizhong¬†Xu
    • 1
  1. 1.Department of Botany and Plant SciencesUniversity of CaliforniaRiversideUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-0-387-70806-5
  • Online ISBN 978-0-387-70807-2
  • About this book