Sentence examples for a database that integrates from inspiring English sources

The phrase "a database that integrates" is correct and usable in written English.
You can use it when describing a database that combines or connects various data sources or systems.
Example: "We are developing a database that integrates information from multiple departments to streamline our operations."
Alternatives: "a database that combines" or "a database that unifies".

Exact(16)

A database that integrates all the information required for biological processing is essential to be stored in one platform.

Lists of genes related to ADD, OCD and dyslexia were retrieved from DisGeNet v3.0, a database that integrates human gene-disease associations from various expert curated sources and text-mining of literature40.

Now, researchers at the Stanford University School of Medicine have compiled a database that integrates gene expression patterns of 39 types of cancer from nearly 18,000 patients with data about how long those patients lived.

PRIMe, a platform for RIKEN metabolomics is a database that integrates genomic and metabolomic data.

Solutions to this issue can involve the generation of a database that integrates all analyses results [ 4].

DisGeNET is a database that integrates knowledge on the genes associated with human diseases from various expert curated databases and the literature [ 27, 28].

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Similar(44)

It is a unique database that integrates into a single entity the annotation of sequences, structure, function, expression, subcellular localization, evolution, and the diversity of human genes and their encoded proteins.

If Salesforce builds a Postgres database that integrates their two services, Salesforce could have a bigger presence in constructing and modifying applications running on its servers.

SorghumCyc is a pathway/genome database that integrates genomic information with experimentally elucidated and electronically derived functional annotations to infer metabolic pathways in sorghum [ 146].

The GO-slim studies were developed using Bio4j (http://www.bio4j.com/), a graph database that integrates all Uniprot, GO, taxonomy, RefSeq and Enzyme database elements in nodes connected by edges that represent their relationships.

The data were then visualized by two methods: (a) we constructed a local gff2 database that integrates the reference genome sequence, known annotations and wiggle files generated from our dataset.

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