Databasing the Brain: From Data to Knowledge (Neuroinformatics).
Databasing the brain; from data to knowledge (neuroinformatics).
Title main entry. Ed. by Stephen H. Koslow and Stankar Subramaniam.
In this collection of 26 interrelated articles, Koslow (National Institute of Mental Health), Subramianiam (bioengineering, chemistry, and biochemistry, U. of California, San Diego), and contributors examine how new concepts, such as information technology, genomics and proteomics, have become part of the equation in brain research. They describe how neuroinformatics is bridging the gap between information technology and neuroscience, and how the results can be used. Discussion includes the application of computer science to neuroscience, with topics ranging from the schema and needs of the neuroscience database, the application of computer science to neuroanatomical nomenclature and ontology, entity-attribute-value database approaches, data grids, grid-based resources, and visualization. Contributors describe system approaches, such as the process from genome to disease, and cellular and electophysiological models; and they discuss applications, including means of acquiring and sharing data.
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|Title Annotation:||ANATOMY, PHYSIOLOGY|
|Publication:||SciTech Book News|
|Article Type:||Brief Article|
|Date:||Jun 1, 2005|
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