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Updated: Jul 15, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
CARGO: a web portal to integrate customized biological information
Ildefonso Cases1, David G Pisano, Eduardo Andres
1SCOMPBio Group, Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
CARGO is a web portal that integrates and visualizes life science data from various sources. This tool helps experimental biologists easily access and understand distributed biological information, including human cancer genes.
Area of Science:
- Bioinformatics
- Genomics
- Cancer Research
Background:
- Vast amounts of life science data are generated and dispersed across numerous databases.
- There is a significant need for user-friendly methods to search, gather, and display this distributed data in a standardized format.
Purpose of the Study:
- To develop CARGO (Cancer And Related Genes Online), a configurable biological web portal.
- To facilitate, integrate, and visualize results from diverse internet resources for experimental biologists.
Main Methods:
- Utilizes a Rich Internet Application (RIA) paradigm based on AJAX.
- Employs small, specialized agents called widgets to deliver biological information.
- Designed for experimental biologists with no prior bioinformatics training.
Main Results:
- CARGO provides minimal, relevant, and descriptive biological information.
- The system currently offers a list of human cancer genes.
- Integrates and visualizes data irrespective of native format or access method.
Conclusions:
- CARGO serves as a valuable tool for experimental biologists to access and interpret complex biological data.
- The portal simplifies the retrieval and visualization of distributed life science information.
- Enhances data accessibility and usability for a non-bioinformatics expert audience.
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