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Retrieving all required information from multiple databases is in itself already a cumbersome task.
Within our DNA variant annotation pipeline, biological information across multiple databases is used.
Already the step, finding the right antibody in multiple databases, is like looking for the proverbial needle in a haystack.
This indicates that the presence of a PPI interaction in multiple databases is a reliable indicator of quality only where the curated PPI data are not dominated by large-scale studies.
A challenge for biologists and bioinformaticians who want to perform advanced integrative searches across multiple databases is that individual queries are time consuming and the results generated usually require further formatting.
Similar(55)
Multiple databases were searched systematically without language restrictions until August 2015.
A systematic search of multiple databases was then performed from 1966 until present and appropriate papers for appraisal identified.
Multiple databases were used to ensure a thorough search was performed as no single database can cover all the resources within a given field [27].
To maximize the proportion of relevant studies identified for inclusion in systematic reviews (recall), complex time-consuming Boolean searches across multiple databases are common.
Multiple databases were searched systematically without language restrictions until August 2015 (Cochrane Central, Medline, Embase, Indmed, MedCarib, AJO, AIM, IMEMR, WHOLIS, LILACS, WPRIM, IMSEAR, Google Scholar, Grey Literature, German National Library, German Pharmacovigilance Database and Clinical Trials Registries).
Although multiple databases were used, there is a possibility that some full-text publications were not identified by the search strategy, particularly if the title of the presentation had changed when the manuscript was being written.
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