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sql database  (MariaDB Corporation)

 
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    MariaDB Corporation sql database
    Sql Database, supplied by MariaDB Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mariadb+sql+database/sql+database/pmc06864635-114-18-23
    Average 90 stars, based on 1 article reviews
    sql database - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: SCID and Other Inborn Errors of Immunity with Low TRECs - the Brazilian Experience.
    Article Snippet: Severe combined immunodeficiency, SCID, is a pediatric emergency that represents the most critical group of inborn errors of immunity (IEI).. Affected infants present with early onset life-threatening infections due to absent or non-functional T cells.. Without early diagnosis and curative treatment, most die in early infancy.

    Article Title: DSMZCellDive: Diving into high-throughput cell line data
    Article Snippet: The SQL database is based on MariaDB Version 10.3.

    Article Title: What evidence exists on wild bee trends in Germany? A systematic map.
    Article Snippet: We then extracted all relevant information from the full text directly into an SQL database (MariaDB).

    Article Title: Impact of a machine learning algorithm on time to palliative care in a primary care population: protocol for a stepped-wedge pragmatic randomized trial.
    Article Snippet: Additionally, these data are stored in a secure MariaDB SQL database that the user interface accesses; both the user interface and the SQL database are password-protected and available only to palliative care specialists and statistical personnel.

    Article Title: A web-based platform for the annotation and analysis of NAR-published databases.
    Article Snippet: Data storage and retrieval for the website use a standard MariaDB SQL database.

    Article Title: Smart City as Cooperating Smart Areas: On the Way of Symbiotic Cyber–Physical Systems Environment
    Article Snippet: The FM uses the MariaDB SQL database as a relational database management system and InfluxDB connected to Grafana in order to manage time-series data with a multitude of advantages: single datastore for all time-series data, low-latency queries, open and interoperable with data ecosystems, high data compression.

    Article Title: Comparing efficiency of patent production between US institutions using a hybrid NIH–USPTO dataset
    Article Snippet: NIH and USPTO data were first loaded into a MariaDB SQL database.



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    Workflow. Xanthomonas pathogenicity assay data for different strains was obtained from literature and stored in a <t>SQL</t> (phenotype) database. Available genomes were retrieved and de novo annotated with protein domains. Annotation results were stored in a Graph database. Strain specific domain content was used as input to train the classifiers. Resulting models were examined for their ability to predict pathogenicity and feature importance
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    Workflow. Xanthomonas pathogenicity assay data for different strains was obtained from literature and stored in a SQL (phenotype) database. Available genomes were retrieved and de novo annotated with protein domains. Annotation results were stored in a Graph database. Strain specific domain content was used as input to train the classifiers. Resulting models were examined for their ability to predict pathogenicity and feature importance

    Journal: BMC Genomics

    Article Title: Machine learning approaches to predict the Plant-associated phenotype of Xanthomonas strains

    doi: 10.1186/s12864-021-08093-0

    Figure Lengend Snippet: Workflow. Xanthomonas pathogenicity assay data for different strains was obtained from literature and stored in a SQL (phenotype) database. Available genomes were retrieved and de novo annotated with protein domains. Annotation results were stored in a Graph database. Strain specific domain content was used as input to train the classifiers. Resulting models were examined for their ability to predict pathogenicity and feature importance

    Article Snippet: Relevant parameters and outcomes were stored in a SQL database ( MariaDB v10.5.9).

    Techniques: