Thunor

Thunor analyzes high-throughput end-point and time-based cell proliferation datasets to manage, process, and derive dose-response metrics such as IC50 for comparative analysis across cell lines, drugs, concentrations, and tags.

Key Features:

• Data Management: Supports end-point and time-based proliferation assays and provides plate-map annotation for cell lines, drugs, and concentrations.
• Visualization: Generates plots of cell proliferation time courses and dose-response curves and reports derived metrics such as IC50, with dataset aggregation and grouping by tags.
• Statistical Analysis: Uses a tagging system to enable aggregation, visualization, and statistical comparisons based on attributes such as cell line mutations or drug classes/target pathways.
• Data Sharing and Access Control: Implements dataset sharing and access-control mechanisms to enable controlled collaborative use of datasets.

Scientific Applications:

• High-throughput screening and drug-response profiling: Applied to large-scale drug screening efforts for drug discovery and development to characterize dose-dependent responses.
• Large-scale dataset integration and interpretation: Used to analyze and interpret cell viability databases and in-house proliferation-rate datasets to derive comparative drug-response metrics.

Methodology:

Processes end-point and time-based proliferation assay data, computes dose-response curves and derived metrics (e.g., IC50), and performs aggregation and statistical comparisons using tags.