Semantic Body Browser
Semantic Body Browser visualizes expression profiles by mapping semantically annotated anatomical illustrations to molecular and phenotypic data across anatomical scales from organs to sub-cellular components.
Key Features:
- Semantically annotated anatomical illustrations: Associates anatomical entities with expression data using semantic annotations.
- Spatial visualization of expression profiles: Represents expression profiles within anatomically accurate illustrations to provide anatomical context.
- Multi-scale anatomical resolution: Covers organismal structures from organs down to sub-cellular components.
- Integration of molecular and phenotypic data: Presents molecular and phenotypic datasets within anatomical frameworks for contextual analysis.
- Facilitation of pattern identification: Enables detection of spatial patterns and correlations by contextualizing expression data anatomically.
- JavaScript implementation: Implemented using JavaScript.
Scientific Applications:
- Anatomical mapping of expression data: Maps expression profiles onto anatomical structures to support spatial analyses.
- Interpretation of molecular and phenotypic datasets: Places molecular and phenotypic data in anatomical context to aid biological and medical interpretation.
- Discovery of spatial patterns and correlations: Identifies spatially localized patterns and correlations across anatomical structures.
- Multi-scale biological analysis: Enables comparative analysis across organ-level to sub-cellular-level structures.
Methodology:
Maps and visually represents expression profiles using semantically annotated anatomical illustrations and is implemented in JavaScript.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- JavaScript
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Lekschas F, Stachelscheid H, Seltmann S, Kurtz A. Semantic Body Browser: graphical exploration of an organism and spatially resolved expression data visualization. Bioinformatics. 2014;31(5):794-796. doi:10.1093/bioinformatics/btu707. PMID:25344497.
PMID: 25344497