Description |
1 online resource : illustrations |
Contents |
1. Understanding skin color variations as an adaptation by detecting gene-environment interactions / Sumiko Anno, Kazuhiko Ohshima, and Takashi Abe -- 2. Information theoretic methods for gene-environment interaction analysis / Jonathan Knights and Murali Ramanathan -- 3. Approaches for gene-environment interaction analysis : practice of regional epidemiological study / Mio Nakazato and Takahiro Maeda -- 4. Use of bioinformatics in revealing the identity of nature's products with minimum genetic variation : the sibling species / K. Gajapathy, A. Ramanan, S.L. Goodacre, R. Ramasamy, and S.N. Surendran -- 5. Integrated bioinformatics, biostatistics, and molecular epidemiologic approaches to study how the environment and genes work together to influence the development of complex chronic diseases / Alok Deoraj, Changwon Yoo, and Deodutta Roy |
Summary |
GxE interaction analysis is a statistical method for clarifying GxE interactions applicable to a phenotype or a disease that is the result of interactions between genes and the environment. This book compiles and details cutting-edge research in bioinformatics and computational biology. Gene-environment (G E) interaction analysis is a statistical method for clarifying G E interactions applicable to a phenotype or a disease that is the result of interactions between genes and the environment. This book is the first to deal with the theme of G E interaction analysis. It compiles and details cutting-edge research in bioinformatics and computational biology and will appeal to anyone involved in bioinformatics and computational biology |
Bibliography |
Includes bibliographical references |
Notes |
Online resource; title from PDF title page (EBSCO, viewed April 6, 2016) |
Subject |
Genotype-environment interaction -- Statistical methods
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Bioinformatics.
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Computational biology.
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Gene-Environment Interaction
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Computational Biology
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Ecotype
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Genetic Predisposition to Disease
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Computational Biology -- methods
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Models, Statistical
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SCIENCE -- Life Sciences -- Evolution.
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Bioinformatics
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Computational biology
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Form |
Electronic book
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Author |
Anno, Sumiko, editor
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ISBN |
9789814669641 |
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9814669644 |
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