From Data to Knowledge
edited by
Steven H. Koslow
and Shankar Subramaniam
Databasing the Brain covers both basic principles and specific applications across a range of problems in brain research.
It truly 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.
Contents:
- Computer science meets neuroscience
- Database needs of neuroscience : schema and design
- Neuroanatomical nomenclature and ontology
- Neuroinformatics for neurophysiology : the role, design, and use of databases
- Persistent collections
- Entity-attribute-value database approaches for heterogeneous, evolving neuroscience data
- Data grids
- Building grid-based resources for neurosciences
- Visualization in life sciences
- Biology workbenches
- System approaches
- Genome to disease
- Stimulus-dependent regulation of gene expression in the nervous system
- Cell signaling networks in long-term potentiation
- Genetic analyses of functional connectivity in the nervous system
- GeneWays : a system for extracting, analyzing, visualizing, and integrating molecular pathway data
- Cellular morphology at the cellular level
- Cellular models
- Electrophysiological models
- Models of neuronal outgrowth
- Database applications
- The neocortical microcircuit database (NMDB)
- SenseLab : a decade of experience with multilevel, multidisciplinary neuroscience databases
- Three-dimensional visualization and analysis of wiring patterns in the brain : experiments, tools, models, and databases
- Surface-based atlases and a database of cortical structure and function
- Brain atlases of normal human subjects
- Overcoming challenges to sharing neuroimagery
- Probabilistic brain atlases of normal and diseased populations
- Maximizing information content in shared and archived neuroimaging studies of human cognition
Index