Although the database is cleared of personal identifiers, it includes electronic information on patients at an individual level that can be tracked through time and includes demographics, physician defined diagnoses, prescription medications, cigarette smoking status, and death certificates.
Table 3 includes one of the lowest hits of the list, where the sequence annotation in the database was clear.
In this Figure, the huge difference of performance of CAVIAR4REID database in comparison with the rest of the databases is clear to see.
To date, these algorithms have been mainly applied to hand-curated networks, but the prospect for being founded on formal interactome databases is clear.
By contrast, in the unipartite co-citation network, links corresponded to citations between theoretical studies only because our database was cleared to include only models of resistance evolution.
Two of the monomer sequences extracted from the public databases were clear outliers showing the least similarity to the other 58 monomers (Figure 3).
From the genome analysis of prokaryotic kinases and from the work described in KinG database, it is clear that many prokaryotic kinases can not be classified into one of the known groups or subfamilies of eukaryotic protein kinases originally defined by Hanks et al [44].
Although one study has questioned the validity of the PEN database, it is clear that many nanotechnology products are currently on the market.
When this result is coupled with the fact that 40% of African-American mtDNAs did not match any sequence in the database, it is clear that matches to a single African ethnic group will not be the outcome for most African Americans, and even when a match to a single ethnic group is obtained, multiple matches may occur in a larger database.
Therefore, we do not believe that our current data set is appropriate for the creation of such a reference database, though it is clear that such databases are certainly important.
