Simplicity: web-based visualization and analysis of high-throughput cancer cell line screens

Area of Science:

• Computational Biology and Bioinformatics
• Cancer Therapeutics and Drug Development

Background:

• High-throughput drug screening (HTS) is vital for identifying novel cancer drug candidates.
• Raw HTS data is often inaccessible to researchers lacking bioinformatics expertise.
• Existing processed HTS data may lack the granularity needed for clinical translation.

Approach:

• Developed Simplicity, a user-friendly web interface for HTS data analysis.
• Enables visualization, exploration, and summarization of both raw and processed HTS data.
• Allows dynamic recalculation of summary statistics at user-specified drug concentrations.

Key Points:

• Enhances the usability of complex HTS datasets for a broader research audience.
• Facilitates the recalculation of statistics at clinically relevant drug doses.
• Supports the translation of screening findings into actionable clinical insights.

Conclusions:

• Simplicity improves accessibility and utility of HTS data for cancer drug discovery.
• The tool empowers researchers to derive more meaningful conclusions from screening experiments.
• Accessible at https://oncotherapyinformatics.org/simplicity/ for public use.