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Scientific progress in developmental biology as well as improved understanding of genetically based diseases depends on the timely and full exploitation of this data.
The current level of accessibility, with no access barriers for researchers, allows for optimal exploitation of this data for research purposes.
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To allow further exploitation of this valuable data, all information has been made available at PhylomeDB (http://www.phylomedb.org).
This exploitation of the data cannot be done manually due to the important combinatorics to accomplish.
Full exploitation of this increased data base is expected to be attained through the use of modern data assimilation techniques such as 3- and 4-dimensional variational assimilation.
However, the efficient exploitation of this large data set is hampered by the lack of an integrated database and data analysis platform.
This lack limited exploitation of the data collected in terms of hazard estimation.
This will enable the exploitation of the data beyond the scope of the UDRIVE project.
This implies that data mining functionalities are becoming a must to allow for the maximum scientific exploitation of the data.
Scientific exploitation of the data has also started.
There is a difference, however, between the use of a communication platform by an entity hostile to democracy under the rule of law, and the latter's acquisition and exploitation of the data produced by that platform.
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