CARGO
CARGO aggregates and standardizes distributed biological data focused on human cancer genes to enable integration and visualization.
Key Features:
- Configurable framework: Built on a configurable framework that supports modular integration of data components.
- Rich Internet Application (RIA) with AJAX: Uses RIA technology and AJAX to dynamically update content without full page reloads.
- Modular widgets: Employs small, modular widgets that present minimal yet relevant descriptive information about biological entities.
- Human cancer gene catalogue: Provides a comprehensive list of human cancer genes with associated gene annotations and related biological information.
- Integration and standardization: Integrates resources from various internet databases into a standardized format to synthesize distributed data.
- Data visualization: Supports visualization of genetic and annotation data related to cancer research.
Scientific Applications:
- Exploration and visualization of cancer genetic data: Enables examination and visualization of genetic and annotation data for human cancer genes.
- Data integration and synthesis for hypothesis generation: Combines distributed database resources in a standardized form to support hypothesis generation, data analysis, and interpretation of experimental results.
- Support for cancer biology and therapeutic research: Facilitates analyses that contribute to understanding cancer biology and the development of potential therapeutic strategies.
Methodology:
Implements a configurable framework using Rich Internet Application (RIA) technology with AJAX, composed of modular widgets, and integrates resources from internet databases into a standardized format.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 2/10/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Cases I, Pisano DG, Andres E, Carro A, Fernandez JM, Gomez-Lopez G, Rodriguez JM, Vera JF, Valencia A, Rojas AM. CARGO: a web portal to integrate customized biological information. Nucleic Acids Research. 2007;35(Web Server):W16-W20. doi:10.1093/nar/gkm280. PMID:17483515. PMCID:PMC1933121.