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The DALI and SSM databases were utilized to search for structural homologues of the RRM domain of HvGR-RBP1.
Three separate databases were utilized to integrate deidentified data from the preoperative, intraoperative, and postoperative period for patients who underwent a surgical procedure in the main operating suites.
In particular, to reduce the probability of false positive connections in the network, experimentally validated, rather than prediction-oriented, databases were utilized to obtain connectivity.
Centered Pearson correlations were calculated and 71 617 pairs of probe sets with a correlation value greater than 0.98 were passed on to be used to construct BNP. KEGG (Kanehisa et al., 2012), NCI/NATURE (Schaefer et al., 2009) and Reactome (Vastrik et al., 2007) databases were utilized to gather pathway based evidence data.
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Administrative databases are utilized to assess costs associated medical services.
For system development, various component technologies, such as wireless communication, augmented reality, and client server database, were utilized to efficiently manage, transfer, and visualize project information on a mobile computing platform.
Gene expression measurements together with gene annotation data from the Gene Ontology database were utilized to identify potential asbestos-associated pathways.
To optimize the parameters, the known enzymes, exist in the KEGG database, were utilized to identify the experimentally proven novel pathways.
In preliminary examinations, bioinformatic tools (such as the TRANFAC public database) were utilized to interrogate the putative promoter region of miR-196b.
In this study, gene expression data analyses together with gene annotation data from the Gene Ontology (GO) database were utilized to identify pathways that are differentially regulated in lung and tumour tissues between asbestos-exposed and non-exposed lung cancer patients.
The seismic experience database is utilized to assess the capacity/damage of equipment.
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