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PredictSearch™

Giving sense to your data ! | PredictSearch™



Functional Networking tool


Organize mass data from biological experiments


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.

Increase the knowledge


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.





Constructing networks


Researchers can upload any excel or text files that contain gene ID or they simply type the gene names of interest. As soon as the scientist uploads the data, a score-based correlations between genes and biological entities (process, activities, pathways) are highlight which allow to access the cellular and molecular context.

A graph visualization display at a glance the co-occurrences between biological terms and genes and enlight one or several terms shared by different genes. The graph complexity can be gradually modulated through increasing or reducing the occurrences values of biological terms.



Click to enlarge
Example of Functional gene network generated by PredictSearch™

Efficiency


Through different tests, PredictSearch demonstrates its ability to select specific relationships from knowledge available throughout a wide range of biological domains and presents these in a content-rich graphical format. The resulting designed functional networks integrates general biomedical knowledge as well as specialized knowledges thus providing crucial biological informations tightly related to customer interests.



Benefits


  • Perform early diagnostics.
  • Monitor the response to treatment.
  • Evaluate drug effects.
  • Adapt treatment to patients (personalized treatment).

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