This is the first book dealing with the theme of gene-environment (G×E) interaction analysis. 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. The book compiles and details cutting-edge research in bioinformatics and computational biology. Edited by Sumiko Anno, this book will appeal to anyone involved in bioinformatics and computational biology.
This is the first book dealing with the theme of gene-environment (G×E) interaction analysis. 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. The book compiles and details cutting-edge research in bioinformatics and computational biology. Edited by Sumiko Anno, this book will appeal to anyone involved in bioinformatics and computational biology.
Sumiko Anno is currently an associate professor at the Shibaura Institute of Technology. She investigates public health issues using genetic engineering, remote sensing, and geographic information systems technologies. Dr. Anno established gene-environment (G × E) interaction analysis, which is used in a variety of scientific applications. In recent decades, there has been a great deal of scientific interest in her work on combining micro- and macro-information obtained from molecular, biological, and ecological studies. Her achievements have been rated highly, and she has received several awards from institutes in Japan and abroad.
Inhaltsangabe
Understanding Skin Color Variations as an Adaptation by Detecting Gene-Environment Interactions. Information Theoretic Methods for Gene-Environment Interaction Analysis. Approaches for Gene-Environment Interaction Analysis: Practice of Regional Epidemiological Study. Use of Bioinformatics in Revealing the Identity of Nature's Products with Minimum Genetic Variation: The Sibling Species. Integrated Bioinformatics, Biostatistics, and Molecular Epidemiologic Approaches to Studying How the Environment and Genes Work Together to Affect the Development of Complex Chronic Diseases.
Understanding Skin Color Variations as an Adaptation by Detecting Gene-Environment Interactions. Information Theoretic Methods for Gene-Environment Interaction Analysis. Approaches for Gene-Environment Interaction Analysis: Practice of Regional Epidemiological Study. Use of Bioinformatics in Revealing the Identity of Nature's Products with Minimum Genetic Variation: The Sibling Species. Integrated Bioinformatics, Biostatistics, and Molecular Epidemiologic Approaches to Studying How the Environment and Genes Work Together to Affect the Development of Complex Chronic Diseases.
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