Pathway Projector
Pathway Projector visualizes and maps genes, enzymes, and metabolites onto KEGG Atlas‑derived biochemical pathway maps to integrate transcriptomic, proteomic, and metabolomic data for pathway-level analysis.
Key Features:
- Integrated Pathway Maps: Uses KEGG Atlas-derived maps that integrate genes, enzymes, and metabolites and provides scalable, zoomable representations via the Google Maps API.
- Comprehensive Search Capabilities: Supports searches by keywords, molecular weights, nucleotide sequences, amino acid sequences, and potential routes between compounds.
- Data Mapping and Annotation: Maps transcriptomic, proteomic, and metabolomic experimental data onto pathway maps and allows editing and annotation of maps for analysis.
- Data Exchange: Facilitates exchange of pathway data and integration of new findings into existing pathway maps.
Scientific Applications:
- Data Contextualization: Contextualizes experimental data within biochemical pathways.
- Systems Biology: Supports systems biology research by integrating multiple biological data types with pathway information.
- Functional Genomics: Enables functional genomics studies by mapping genes and enzymes onto pathway maps.
- Personalized Medicine: Supports personalized medicine research by relating omics data to pathway context.
- Gene–Environment Interactions and Pathway Dynamics: Enables exploration of gene–environment interactions and pathway dynamics to study cellular processes and disease mechanisms.
Methodology:
Integrates large-scale pathway maps from the KEGG Atlas with data-mapping capabilities and uses the Google Maps API for visualization.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Ruby, Perl, Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Kono N, Arakawa K, Ogawa R, Kido N, Oshita K, Ikegami K, Tamaki S, Tomita M. Pathway Projector: Web-Based Zoomable Pathway Browser Using KEGG Atlas and Google Maps API. PLoS ONE. 2009;4(11):e7710. doi:10.1371/journal.pone.0007710. PMID:19907644. PMCID:PMC2770834.