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Using CDN, a user can pose clinical queries pertaining to cancer containing aggregations and joins across data hosted by multiple data providers.
Its occurrence was also not supported by the multiple sequence alignment data (data not shown).
We overcame this limitation by drawing on multiple data sources.
Cohorts can be assembled relatively quickly and relevant medical histories can be obtained by linking data from multiple data sources.
Modern optical data networking systems increase capacity by transmitting multiple data streams simultaneously in different colors of light.
However, by allowing multiple data streams per user, higher user peak data rates can be provided.
Big data raises many privacy concerns as, for example, by combining multiple data sets one can easily re-identify privacy-sensitive data even this data has been anonymized.
A similar panic could be caused by disabling multiple data centers.
The Rwanda team also developed tools including dashboards and indices which facilitate data use by summarizing multiple data sources.
Trackster supports smooth navigation amongst many levels of detail by using multiple data indexes, showing coverage data when there are too many features to display individually and showing individual elements when zoomed in.
Triangulation of data was ensured by utilizing multiple data sources, including monitoring statistics.
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