rcellminer

rcellminer: R Package for NCI-60 Cancer Cell Line Data Integration and Analysis

rcellminer provides programmatic access to NCI-60 CellMiner datasets, integrating gene expression, protein expression, copy number variation, whole exome mutation, and drug activity data for approximately 21,000 compounds across 60 human cancer cell lines.

Key Features:

• Multi-Omics Data Access: Retrieves gene and protein expression profiles, copy number variations, whole exome mutations, and pharmacological activity data from the NCI-60 panel.
• Compound Annotation: Includes compound structure, mechanism of action, and repeat screening results linked to drug response data.
• Drug Response Analysis: Enables correlation of molecular features with compound activity patterns across cancer cell lines.
• Data Integration Functions: Supports computational extraction, manipulation, and integration of multi-platform NCI-60 datasets within R.

Scientific Applications:

• Drug Discovery: Identifies candidate compounds and repurposing opportunities through analysis of activity profiles and molecular correlates.
• Mechanistic Studies: Investigates relationships between genomic alterations, expression patterns, and compound mechanisms of action.
• Precision Oncology Research: Associates molecular characteristics of cancer cell lines with differential therapeutic response.

Methodology:

rcellminer integrates NCI-60 data from CellMiner into R, enabling structured retrieval and computational analysis of multi-omics and pharmacological datasets for cross-platform correlation and hypothesis testing.