AtOM, an ontology model to standardize use of brain atlases in tools, workflows, and data infrastructures
Abstract Brain atlases are important reference resources for accurate anatomical description of neuroscience data. Open access, three-dimensional atlases serve as spatial frameworks for integrating experimental data and defining regions-of-interest in analytic workflows. However, naming conventions,...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-07-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02389-4 |