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Applied Computational Genomics

  • Book
  • © 2012

Overview

Editors:
  1. Yin Yao Shugart

    1. 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 ?
  • Includes supplementary material: sn.pub/extras
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    • Yin Yao Shugart, Andrew Collins
    Pages 1-10

  3. Concepts of Genetic Epidemiology

    • Kathleen Ries Merikangas
    Pages 11-20

  4. Integration of Linkage Analysis and Next-Generation Sequencing Data

    • Francesca Lantieri, Mark A. Levenstien, Marcella Devoto
    Pages 21-34

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

    • Timothy J. Jorgensen, Hai-De Qin, Yin Yao Shugart
    Pages 35-60

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

    • Chunyu Liu
    Pages 61-82

  7. Renewed Interest in Haplotype: From Genetic Marker to Gene Prediction

    • Shuying Sue Li, Xinyi Cindy Zhang, Lue Ping Zhao
    Pages 83-104

  8. Analytical Approaches for Exome Sequence Data

    • Andrew Collins
    Pages 105-120

  9. Rare Variants Analysis in Unrelated Individuals

    • Tao Feng, Xiaofeng Zhu
    Pages 121-138

  10. Gene Duplication and Functional Consequences

    • Xun Gu, Yangyun Zou, Zhixi Su
    Pages 139-156

  11. From GWAS to Next-Generation Sequencing on Human Complex Diseases: The Implications for Translational Medicine and Therapeutics

    • Hai-De Qin, Alan Scott, Harold Z. Wang, Yin Yao Shugart
    Pages 157-179

  12. Back Matter

    Pages 181-184
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Keywords

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. ​                        

Editors and Affiliations

  • Bethesda, USA

    Yin Yao Shugart

Bibliographic Information

  • Book Title: Applied Computational Genomics

  • Editors: Yin Yao Shugart

  • Series Title: Translational Bioinformatics

  • DOI: https://doi.org/10.1007/978-94-007-5558-1

  • Publisher: Springer Dordrecht

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

  • Copyright Information: Springer Science+Business Media Dordrecht 2012

  • Hardcover ISBN: 978-94-007-5557-4Published: 02 January 2013

  • Softcover ISBN: 978-94-017-8063-6Published: 01 July 2015

  • eBook ISBN: 978-94-007-5558-1Published: 30 December 2012

  • Series ISSN: 2213-2775

  • Series E-ISSN: 2213-2783

  • Edition Number: 1

  • Number of Pages: XII, 184

  • Topics: Human Genetics, Bioinformatics, Biotechnology

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