Publisher's Synopsis
Understanding the structure, function, and development of the brain in health and disease represents one of the great scientific challenges of our time. The emerging field of neuroinformatics integrates approaches from a number of disciplines to develop and apply the new tools and concepts of genomics and proteomics along with the wealth of genome and protein data now available to brain research. Databasing the Brain: from Data to Knowledge is the first book to comprehensively cover neuroinformatics, from relevant computational science and modeling issues to the field′s diverse applications.
Expertly edited by two pioneers in this burgeoning discipline, this book provides a treatment of basic principles and specific applications across a range of problems in brain research. It integrates neuroscience with informatics, providing a means for understanding the new analytical tools and models of neuronal functions now being developed. Each chapter offers practical guidance for applying this knowledge to current research, enhancing electronic collaborations, and formulating hypotheses. This is a valuable resource for students entering this interdisciplinary area as well as for researchers wanting to cross–train between neuroscience and informatics.
Databasing the Brain includes:
- Informatics issues, tools, and models, and the state of the art in applications to clinical and basic research
- Extensive illustrations throughout
- Consistent organization for each chapter, with introduction, sidebars, summary, and annotated bibliography
- Introductions to new ways to acquire, store, visualize, analyze, integrate, synthesize, and share data
- Tools for brain and behavioral scientists to integrate findings with data obtained using different species, levels of biological organization, and methods
Databasing the Brain gives researchers and students a unique resource for understanding this important and exciting new field.
