Applied Computational Genomics

  • Yin Yao¬†Shugart

Part of the Translational Bioinformatics book series (TRBIO, volume 1)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Yin Yao Shugart, Andrew Collins
    Pages 1-10
  3. Kathleen Ries Merikangas
    Pages 11-20
  4. Francesca Lantieri, Mark A. Levenstien, Marcella Devoto
    Pages 21-34
  5. Shuying Sue Li, Xinyi Cindy Zhang, Lue Ping Zhao
    Pages 83-104
  6. Andrew Collins
    Pages 105-120
  7. Tao Feng, Xiaofeng Zhu
    Pages 121-138
  8. Xun Gu, Yangyun Zou, Zhixi Su
    Pages 139-156
  9. Back Matter
    Pages 181-184

About this book


"Applied Computational Genomics" focuses on an in-depth 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 area of statistical genomics and will give a detailed introduction of the evolution in the field and critical evaluations of the advantages and disadvantages of the statistical models proposed. They will also share their views on a future shift toward translational biology.

The book will be of value to human geneticists, medical doctors, health educators, policy makers, and graduate students majoring in biology, biostatistics, and bioinformatics.

Dr. Yin Yao Shugart is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland, USA.


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

Editors and affiliations

  • Yin Yao¬†Shugart
    • 1
  1. 1.BethesdaUSA

Bibliographic information