Applied Computational Genomics

  • Yin  Yao

Part of the Translational Bioinformatics book series (TRBIO, volume 13)

Table of contents

  1. Front Matter
    Pages i-vii
  2. McKenzie Ritter, Yin Yao, Andrew Collins
    Pages 1-5
  3. McKenzie Ritter, Yin Yao
    Pages 7-15
  4. Kathleen Ries Merikangas
    Pages 17-26
  5. Tao Feng, Xiaofeng Zhu
    Pages 27-44
  6. McKenzie Ritter, Yi Li, Yi Wang, Yin Yao, Li Jin
    Pages 107-120
  7. Andrew Collins
    Pages 121-136
  8. McKenzie Ritter, Yin Yao
    Pages 143-150

About this book


The volume provides a review of statistical development and application in the area of human genomics, including candidate gene mapping, linkage analysis, population-based genome-wide association, exon sequencing, and whole genome sequencing analysis. The authors are extremely experienced in the field of statistical genomics and will give a detailed introduction to the evolution of the field, as well as critical comments on the advantages and disadvantages of the proposed statistical models. The future directions of translational biology will also be described.


Gene mapping exon sequencing linkage analysis population-based genome-wide association whole genome sequencing analysis

Editors and affiliations

  • Yin  Yao
    • 1
  1. 1.Intramural Research Program, National Institute of Mental HealthNational Institutes of HealthBethesdaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-981-13-1070-6
  • Online ISBN 978-981-13-1071-3
  • Series Print ISSN 2213-2775
  • Series Online ISSN 2213-2783
  • Buy this book on publisher's site