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Nucleic Acids Research Advance Access originally published online on May 5, 2007
Nucleic Acids Research 2007 35(Web Server issue):W16-W20; doi:10.1093/nar/gkm280
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Nucleic Acids Research, 2007, Vol. 35, No. suppl_2 W16-W20
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Articles

CARGO: a web portal to integrate customized biological information

Ildefonso Cases1, David G. Pisano2,3,*, Eduardo Andres2, Angel Carro2, José M. Fernández3, Gonzalo Gómez-López2, Jose M. Rodriguez3, Jaime F. Vera1, Alfonso Valencia1,3 and Ana M. Rojas1

1SCOMPBio Group, 2Bioinformatics Unit (UBio), Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain and 3Spanish National Institute for Bioinformatics (INB), Spain

*To whom correspondence should be addressed: Tel.: +34-91-224-6900; Fax: +34-91-224-8006; Email: dgpisano{at}cnio.es

Received February 5, 2007. Revised April 5, 2007. Accepted April 11, 2007.

There is a huge quantity of information generated in Life Sciences, and it is dispersed in many databases and repositories. Despite the broad availability of the information, there is a great demand for methods that are able to look for, gather and display distributed data in a standardized and friendly way. CARGO (Cancer And Related Genes Online) is a configurable biological web portal designed as a tool to facilitate, integrate and visualize results from Internet resources, independently of their native format or access method. Through the use of small agents, called widgets, supported by a Rich Internet Application (RIA) paradigm based on AJAX, CARGO provides pieces of minimal, relevant and descriptive biological information. The tool is designed to be used by experimental biologists with no training in bioinformatics. In the current state, the system presents a list of human cancer genes. Available at http://cargo.bioinfo.cnio.es


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