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Table 1 shows the results obtained per decade in each of the databases.
The search expressions used in each of the databases are shown here.
The search strategy is presented in Tables 1 and 2. This was modified for each of the databases.
The full search strategy for each of the databases may be obtained from the authors upon request.
Finally, we calculated a KLSC value for each of the databases, NPD, NCI, and MLSMR with respect to the KBD.
In the analysis of the other two databases, a monotonic logistic function with four parameters was used instead: DMOSp = β 1 - β 2 1 + exp - x - β 3 β 4 + β 2. In each of the databases, we used the function providing the best fitting.
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No performance evaluation has been carried out to compare all three storage strategies, hence, this paper reports on the first attempt to evaluate all three storage strategies by using open source products to measure the response time taken for each of the database basic tasks such as database creation, dataset insertion, and data manipulation.
For the PCA maps and assembly of FL-mapplet, PC1-PC2 plane was represented by 1000x1000 grid points (pixels), followed by the assignment of the each of the database molecule on to the grid.
We did BLAST searches with each of the database sequences against the complete database, using the same parameters as above.
JEnsembl represents each of the database schema with a hierarchy of subclasses of the Database class, (CoreDatabase, ComparisonDatabase, VariationDatabase, etc).
The complete details on the search terms used in each of the database are provided in Additional file 1.
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