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.

Documentation

Links