Database management of the mass produced results engendered by microarrays is a crucial challenge faced by the scientific community. Despite the existence of tools for clustering genes that present over distinct biological conditions similar expression patterns, such approaches fail to underly molecular connections on a large scale, which is prerequisite to understanding biological processes. Integration of biological data extrated from the scientific litterature is generating a relevant understanding of the produced data with PredictSearch™ methodology.
Thus, PredictSearch™ 2.0 enables to determine contextual biological processes and activities within functional networks. It also integrates modules to integrate scientists own expertise in order to help them increase their savoir-faire and expertises.