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Getting poster data...
Victor de la Torre (Spanish National Cancer Research Centre, Madrid, Spain)
Biological information is currently distributed among different databases. Major repositories use to store information of a specific biological entity or experiment type. (e.g. UniProt store proteins information, Kegg keeps information about pathways, ArrayExpress contains microarray data etc). In order to understand a particular biological problem researchers need to collect the information from several of these repositories and combine it in an efficient way. Currently the technology to access distributed biological data starts to be consolidated. The DAS community (http://biodas.org) has made a big contribution creating a standard protocol for annotations exchange. More recently tools like BioMart (http://biomart.org), or the R language (http://www.r-project.org/) make easier the process of retrieve and analyse remote data. Standing on a top of these technologies we propose a client platform that provides researchers with a user-friendly interface to collect and visualize biological information. As a proof of concept we have used CONTEXT to integrate the information retriev