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Applied Computational Genomics

  • Book
  • © 2018

Overview

Editors:
  1. Yin Yao

    1. Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, USA

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  • Provides detailed introduction for the evolution of the field
  • Reviews statistical development and application in the area of human genomics
  • Describes the view of future direction towards translational biology ?

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-vii
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  2. Introduction

    • McKenzie Ritter, Yin Yao, Andrew Collins
    Pages 1-5

  3. Exploring Polygenic Overlap Between ADHD and OCD

    • McKenzie Ritter, Yin Yao
    Pages 7-15

  4. Concepts of Genetic Epidemiology

    • Kathleen Ries Merikangas
    Pages 17-26

  5. Rare Variant Analysis in Unrelated Individuals

    • Tao Feng, Xiaofeng Zhu
    Pages 27-44

  6. Whole-Genome Association Analysis of Treatment Response from Obsessive-Compulsive Disorder

    • McKenzie Ritter, Haide Qin
    Pages 45-57

  7. QTL Mapping of Molecular Traits for Studies of Human Complex Diseases

    • Chunyu Liu
    Pages 59-80

  8. From Family Study to Population Study: A History of Genetic Mapping for Nasopharyngeal Carcinoma (NPC)

    • Haide Qin, Yin Yao
    Pages 81-106

  9. Efficient Test for Nonlinear Dependence of Two Continuous Variables

    • McKenzie Ritter, Yi Li, Yi Wang, Yin Yao, Li Jin
    Pages 107-120

  10. Analytical Approaches for Exome Sequence Data

    • Andrew Collins
    Pages 121-136

  11. Machine Learning Approaches: Data Integration for Disease Prediction and Prognosis

    • Andrew Collins, Yin Yao
    Pages 137-141

  12. OCD Genomics and Future Looks

    • McKenzie Ritter, Yin Yao
    Pages 143-150
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Keywords

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.

Editors and Affiliations

  • Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, USA

    Yin Yao

About the editor

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

Bibliographic Information

  • Book Title: Applied Computational Genomics

  • Editors: Yin Yao

  • Series Title: Translational Bioinformatics

  • DOI: https://doi.org/10.1007/978-981-13-1071-3

  • Publisher: Springer Singapore

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2018

  • Hardcover ISBN: 978-981-13-1070-6Published: 22 September 2018

  • Softcover ISBN: 978-981-13-4561-6Published: 08 February 2019

  • eBook ISBN: 978-981-13-1071-3Published: 03 September 2018

  • Series ISSN: 2213-2775

  • Series E-ISSN: 2213-2783

  • Edition Number: 2

  • Number of Pages: VII, 150

  • Number of Illustrations: 1 b/w illustrations, 13 illustrations in colour

  • Topics: Human Genetics, Bioinformatics, Biotechnology

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