KEGGanim
KEGGanim visualizes high-throughput experimental data by overlaying measurements onto KEGG pathway maps to facilitate interpretation of gene and protein expression changes across conditions.
Key Features:
- Visualization capabilities: Generates animations and static images that overlay experimental measurements onto hand-drawn KEGG pathway maps to show condition-dependent changes.
- Data integration: Accepts public or user-uploaded high-throughput datasets, including microarrays, and supports common gene and protein identifiers used in proteomics and interactomics.
- Dynamic highlighting: Colors pathway members according to experimental measurements to highlight dynamic changes across different conditions and aid identification of important modules and genes.
- Broad applicability: Supports pathway visualization for 14 organisms and leverages extensive public microarray data for those species.
Scientific Applications:
- Gene expression analysis: Provides pathway-context visualization of microarray and other expression data to aid interpretation of differential expression.
- Multi-omics integration: Accommodates proteomics and interactomics identifiers to combine diverse -omics datasets on KEGG maps.
- Pathway dynamics and module identification: Uses color-coded and animated visualizations to reveal dynamic pathway behavior and potential key regulatory elements across conditions.
Methodology:
Maps experimental measurements from public or user-uploaded high-throughput datasets (e.g., microarrays) onto KEGG pathway maps with color-coding of gene or protein expression and generates static images and animations to visualize changes across conditions.
Topics
Collections
Details
- License:
- Freeware
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Perl
- Added:
- 8/24/2015
- Last Updated:
- 1/19/2020
Operations
Data Inputs & Outputs
Publications
Adler P, Reimand J, Jänes J, Kolde R, Peterson H, Vilo J. KEGGanim: pathway animations for high-throughput data. Bioinformatics. 2007;24(4):588-590. doi:10.1093/bioinformatics/btm581.