Jenny Stanford Publishing
212 pages | 7 Color Illus. | 34 B/W Illus.
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.
"Human genomes are being intensively studied worldwide not only because of their importance in the fields of medicine and healthcare but also because a large number of personal genomes, which cover wide varieties of human races, have become available from international DNA databanks because of revolutionary advances in DNA sequencing technologies. By combining worldwide spatiotemporal studies on ultraviolet radiation with those on racial sequence diversity of a gene related with melanin production, researchers have clarified the geographically localized adaptive evolution among human races. This finding provides not only the fundamental knowledge of the adaptive evolution of human skin pigmentation but also valuable information for research in medicine and healthcare. The massive amount of sequence data can be utilized in any scientific field of research and is especially helpful for those involved in collaborative work on genomes and in developing new, promising, and interdisciplinary studies. This book introduces a pioneering study on this intendment."
—Prof. Emeritus Toshimichi Ikemura, Nagahama Institute of Bio-Science and Technology, Japan
"This book by Dr. Anno is a compilation of cutting-edge research in bioinformatics and computational biology and is authored by leading scientists and researchers in the field. It contains numerous worked examples, discussion problems, and a wide range of exercises for education. Since current systems for reporting electrochemical nanofabrication studies make it hard to assess whether the observed interactions are reproducible, the book also gives suggestions for improvements in this area."
—Prof. Ming-An Lee, National Taiwan Ocean University, Taiwan
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.