Sentence examples for prominent databases from inspiring English sources

Exact(2)

These databases were selected using a combination of prior knowledge relating to engineering and technology research, as well as noting prominent databases used in closely related fields.

Although much effort to annotate plant transcripts produces several prominent databases [ 34- 39], there still lacks an effective strategy to make use of public resources (e.g., EST traces) for better annotation of ASVs and accurate identification of novel isoforms in plant genomes.

Similar(58)

In order to compare the performance of these combined approaches to that of the individual ZM and LBP/LTP approaches, exhaustive experiments are performed on three prominent face databases, namely, FERET, Yale, and ORL, against pose, illumination, expression, and noise variations.

Medical journal papers are from two prominent medical databases: the Cochrane Library's Central Register of Controlled Trials (CENTRAL) (http://www.thecochranelibrary.com/) and the U.S. National Library of Medicine's MEDLINE (http://www.nlm.nih.gov/bsd/pmresources.html) both of which hold medical reports from across the world.

10gen is making a play to serve as the most prominent NoSQL database to run cloud infrastructures.

ITS is able to scour documents in a prominent historic database and offer family members with vital records of their own relatives' past.

We present prominent ground-truthed face databases according to two categories: databases under controlled conditions and databases without any control and conditioning.

Like MG-RAST and IMG/M, CAMERA is a prominent large-scale database that processes, shares, and secures metagenomic datasets.

The most prominent examples of such databases are JASPAR [ 2], the Open Regulatory Annotation database (ORegAnno; [ 3]), Swissregulon [ 4], TRANSFAC database [ 5], the Transcriptional Regulatory Element Database (TRED; [ 6]) and the Transcription Regulatory Regions Database (TRRD; [ 7]).

One of the more prominent types of NoSQL databases is document-based storage, which is being increasingly used in the dynamic cloud paradigm.

Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details of the underlying data.

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