Past research has been focused on centralized algorithms, which assume the existence of a central data repository (database) which stores and can process the data from all participants.
The unique work plan we followed to close in on RRBP1 protein using online gene expression data repositories, databases that provide protein information and published literature has proven beneficial in finding candidate biomarkers in a fast and effective manner.
To investigate the evolutionary conservation of the transcripts, we constructed two databases: one containing Picea sitchensis protein sequences downloaded from the NCBI data repository (picea database [ 64]) and one containing Arabidopsis thaliana sequences downloaded from TAIR (ara database [ 65]).
Datasets will be deposited in NCBI gene expression and hybridization array data repository GEO database.
In such cases, sequences from closely related organism would have already been deposited in online data repositories and databases, allowing them to be used as references for the assembly process.
The evidence-map database was uploaded onto SRDR™, an open public data repository, and a database codebook is included in the supplemental material (Additional file 2) [ 18].
This was a retrospective database study using the Nihon University School of Medicine (NUSM) Clinical Data Warehouse (CDW), which is a centralized data repository that integrates separate databases, such as an order entry database and a laboratory results database, from the hospital information systems at three hospitals affiliated to NUSM.
This was a retrospective database study using the Nihon University School of Medicine (NUSM) Clinical Data Warehouse (CDW), which is a centralized data repository that integrates separate databases, such as an order entry database and a laboratory results database, from the hospital information systems at three hospitals affiliated with NUSM.
Patients were identified using the UMMC central data repository, a relational database that contains patient clinical and administrative data.
However, our recent studies also showed, by collecting plasma proteomics into a common proteomics data repository, the HIP2 database [ 19], we could start to reduce the perceived coverage biases for plasma proteomics, and explore a promising goldmine of candidate cancer biomarkers and drug targets [ 20].
NUSM's CDW is a centralized data repository that integrates separate databases, including an order entry database and a laboratory results database, from the hospital information systems at three hospitals affiliated to NUSM.
