Related Experiment Videos
Database tools for integrating and searching membrane property data correlated with neuronal morphology
J S Mirsky1, P M Nadkarni, M D Healy
1Section of Neurobiology, Yale University School of Medicine, New Haven, CT 06510, USA. jason.mirsky@yale.edu
Journal of Neuroscience Methods
|May 1, 1999
Summary
Neuroscience researchers now have NeuronDB, a database for integrating and comparing neuronal properties like channels and receptors. This tool facilitates multidimensional searches across diverse neuron types.
Area of Science:
- Neuroscience
- Computational Biology
- Bioinformatics
Background:
- Integrating and comparing neuronal property data is a significant challenge in neuroscience.
- Existing tools lack comprehensive databases for neuronal properties.
Purpose of the Study:
- To develop a database tool, NeuronDB, for integrating and comparing neuronal property data.
- To provide multidimensional search capabilities for neuronal properties across different neuron types.
Main Methods:
- Developed a combined object-oriented-relational database (NeuronDB).
- Organized data by neuronal regions using canonical forms and models.
- Implemented multidimensional search tools for property retrieval and comparison.
Main Results:
- NeuronDB integrates data on voltage-gated channels, neurotransmitter receptors, and neurotransmitters.
- Database allows searching specific properties within regions and comparing across neurons.
- Provides links to citations and data acceptance status, accessible via the internet.
Conclusions:
- NeuronDB addresses the need for integrated neuronal property data management.
- Facilitates analysis and comparison of functional operations across different neuron types.
- Enhances neuroscience research and neuronal modeling as a shared web resource.