Sentence examples for database has increased from inspiring English sources

Column 1 shows the GVKBIO database has increased since 2006 to just over 2 million compounds and is the commercial source with the highest unique content in this study.

In the 10 years since its release, the Gramene database has increased in scope and scale.

In addition, the percentage of S. aureus isolates resistant to methicillin reported in the TSN database has increased similar to that reported by other national studies.

It is used in this capacity in 19 countries so far; the number of data stored in the WorldFengur database has increased continuously.

Reflecting this interest and developments in sequencing technology, the International Immunogenetics Information System IMGTT) blast database has increased in size from ~21 Mb to ~63 Mb of human sequence data since 2003 [ 2].

The number of known HLA alleles, as registered in the International ImMunoGeneTics information system (IMGT) database, has increased from 1000 in 1998 to more than 13,000 in 2015 [ 1].

The number of virtual reality-related research articles in the Pubmed database have increased over the last 10 years from 204 publications in 2004 to 720 publications in 2014.

The number of virtual reality-related research articles in the Pubmed database have increased over the last 10 years from 204 publications in 2004 to 720 publications in 2014.

At that time (February 2008), the database had increased to 1001 patients, providing the opportunity for a quasi-longitudinal comparison of two independent samples of consecutive patients.

Ninety-seven percent (31 of 32) of clinicians who had used the database found the tool improved their ability to find evidence-based information about H/NP, 91% reported that having the tool available increased their confidence when talking about H/NP with patients or colleagues, and 94% thought that the database had increased their overall knowledge of H/NP.

The popularity of NoSQL databases has increased due to the need of (1) processing vast amount of data faster than the relational database management systems by taking the advantage of highly scalable architecture, (2) flexible (schema-free) data structure, and, (3) low latency and high performance.