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Following the script scheme outlined above, data have been organized into the following table.
To enhance the analytical power of the collected information, facilitate data mining and provide public access of the consortium results to the scientific community, the expression data have been organized in an open, interactive database (http://biit.cs.ut.ee/fungenes/) with a number of original features and tools (Figure 1).
All sequencing data have been organized in a dedicated database available from our web site [ 55].
The predicted adhesin sequences were processed through 18 immunoinformatics algorithms and these data have been organized into MySQL backend.
The data have been organized into a publicly available relational database that will be updated and expanded as new P. damicornis sequencing data become available.
All annotation data have been organized in the user-friendly GigasDatabase using "BioMart", which provides several tools to search cleaned and assembled ESTs.
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Hosting of samples and clinical data has been organized in a dedicated biobank (EchinoBiobank).
Case detection and data collection have been organized by each participating country according to the existing infrastructure of the national health systems and the availability of data sources.
Gene expression microarray data published by the entire biomedical community have been organized and made available for data mining in several public databases (e.g. Oncomine, Gene Expression Omnibus, Array-express, GeneSapiens) [ 1- 7].
As the biological annotation data accumulated, more and more genes have been organized into functional categories.
Names of drugs and cancers have been organized according to the FDA data.
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