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rfhb
ctrdata:Retrieve and Analyze Clinical Trials Data from Public Registers
A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' (<https://clinicaltrials.gov/> and also translating queries the retired classic interface), the 'ISRCTN' (<http://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi'). Protocols, statistical analysis plans, informed consent sheets and other documents in registers associated with trials can also be downloaded. Other functions implement trial concepts canonically across registers, identify deduplicated records, easily find and extract variables (fields) of interest even from complex nested data as used by the registers, merge variables and update queries. The package can be used for monitoring, meta- and trend-analysis of the design and conduct as well as of the results of clinical trials across registers.
Maintained by Ralf Herold. Last updated 4 days ago.
clinical-dataclinical-researchclinical-studiesclinical-trialsctgovdatabaseduckdbmongodbnodbipostgresqlregistersqlitestudiestrial
45 stars 7.85 score 32 scripts
ineelhere
clintrialx:Connect and Work with Clinical Trials Data Sources
Are you spending too much time fetching and managing clinical trial data? Struggling with complex queries and bulk data extraction? What if you could simplify this process with just a few lines of code? Introducing 'clintrialx' - Fetch clinical trial data from sources like 'ClinicalTrials.gov' <https://clinicaltrials.gov/> and the 'Clinical Trials Transformation Initiative - Access to Aggregate Content of ClinicalTrials.gov' database <https://aact.ctti-clinicaltrials.org/>, supporting pagination and bulk downloads. Also, you can generate HTML reports based on the data obtained from the sources!
Maintained by Indraneel Chakraborty. Last updated 22 days ago.
aactbioinformaticsclinical-dataclinical-trialsclinicaltrialsgovcttidatadata-managementmedical-informaticsr-languagetrials
15 stars 5.76 score 11 scripts
bioc
cbpManager:Generate, manage, and edit data and metadata files suitable for the import in cBioPortal for Cancer Genomics
This R package provides an R Shiny application that enables the user to generate, manage, and edit data and metadata files suitable for the import in cBioPortal for Cancer Genomics. Create cancer studies and edit its metadata. Upload mutation data of a patient that will be concatenated to the data_mutation_extended.txt file of the study. Create and edit clinical patient data, sample data, and timeline data. Create custom timeline tracks for patients.
Maintained by Arsenij Ustjanzew. Last updated 5 months ago.
immunooncologydataimportdatarepresentationguithirdpartyclientpreprocessingvisualizationcancer-genomicscbioportalclinical-datafilegeneratormutation-datapatient-data
8 stars 5.51 score 1 scripts