Expertly edited by two pioneers in this growing discipline, the text covers the basic principles and specific applications across a range of problems in brain research. Extensively illustrated throughout, this book discusses the state-of-the-art informatic tools and models and how they are being applied to clinical and basic research. In addition to presenting new ways to acquire, store, visualize, analyze, integrate, synthesize, and share data, this comprehensive overview demonstrates how data obtained using different species, levels of biological organization, and methods can be integrated.
"Databasing the Brain" Offers:
- A solid foundation for the application of computer science in order to build databases, tools, and workflow environments in neuroscience
- An analysis of neuronal systems in a quantitative context
- Specific applications in neuroscience that reflect present and future information infrastructures
"Databasing the Brain" is an invaluable resource for students entering this interdisciplinary area, as well as for researchers wanting to cross-train between neuroscience and informatics.
About the Authors:
Stephen H. Koslow, Ph.D., is the Director of External Relations at the Seattle-based Allen Institute for Brain Science. He formerly served as the Director Office on Neuroinformatics, Associate Director, National Institute of Mental Health, National Institutes of Health. In addition to coordinating the Human Brain Project, a multi-government agency informatics initiative, he is also a fellow of the American Association for the Advancement of Science, the American College of Medical Informatics, and the American College of Neuropsychopharmacology.
Shankar Subramaniam, Ph.D., is a Professor in the Departments of Bioengineering, and Chemistry and Biochemistry, and the Director of the Bioinformatics Graduate Program at the University of California at San Diego. He is a fellow of the American Institute for Medical and Biological Engineering and a recipient of Smithsonian Foundation and Association of Laboratory Automation Awards.
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