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Protocol to set up the CellMinerCDB pharmacogenomics analysis web application with custom cell line data.
Fathi Elloumi1, Camille Tlemsani2, Christine M Heske3
1Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
STAR Protocols
|September 26, 2025
Summary
This study details setting up CellMiner Cross-Database (CellMinerCDB), an application for cancer cell line data analysis. The protocol enables molecular and pharmacological data integration and analysis for cancer research.
Area of Science:
- Bioinformatics
- Genomics
- Pharmacology
Background:
- Cancer cell line data integration is crucial for research.
- Analyzing molecular and pharmacological profiles aids drug discovery.
- Existing tools may lack comprehensive cross-database analysis capabilities.
Purpose of the Study:
- To provide a detailed protocol for setting up CellMiner Cross-Database (CellMinerCDB).
- To enable integrated analysis of molecular and pharmacological data across human cancer cell lines.
- To demonstrate the application using sarcoma data.
Main Methods:
- Software installation and configuration.
- Preparation of compatible molecular and pharmacological datasets.
- Deployment of the CellMinerCDB application for data analysis.
Main Results:
- A functional CellMinerCDB setup enabling data integration.
- Successful demonstration of univariate and multivariate analyses.
- Customizable configuration for diverse cancer datasets.
Conclusions:
- CellMinerCDB provides a robust platform for cross-database cancer cell line analysis.
- The detailed protocol facilitates the implementation of this powerful analytical tool.
- This facilitates deeper insights into cancer biology and therapeutic strategies.
