HTSplotter

HTSplotter analyzes high-throughput screening (HTS) datasets to process and normalize measurements, assess dose–response relationships, and evaluate drug synergism for chemical and genetic perturbation experiments.

Key Features:

• Versatile Application: Handles drug screens, drug combination screens, genetic perturbagen screens, and combined genetic–chemical perturbagen screens.
• Real-Time and Endpoint Assays: Processes both real-time (temporal) assays and endpoint assays for comprehensive analysis of temporal and final measurements.
• Automated Data Analysis: Uses a conditional-statement algorithm to automatically identify experiment type and controls.
• Data Normalization and Processing: Performs data normalization including growth rate normalization and structures data for downstream analysis.
• Advanced Analytical Methods: Executes dose–response assessments and drug synergism evaluations using Bliss Independence (BI), Zero Interaction Potency (ZIP), and Highest Single Agent (HAS).
• Comprehensive Visualization and Export: Exports numerical results as text files and saves visual representations as PDF files.
• Automation Efficiency: Automates complex data-processing steps to reduce manual preprocessing and analysis effort.

Scientific Applications:

• Drug discovery: Supports evaluation of compound efficacy and interactions in high-throughput drug screening campaigns.
• Pharmacological studies: Enables dose–response characterization and synergism analysis for pharmacology research.
• Genetic perturbation screening: Analyzes effects of genetic perturbagens alone and in combination with chemical compounds.
• High-throughput assay analysis: Processes large HTS datasets from both temporal (real-time) and endpoint experimental designs.

Methodology:

Automated conditional-statement algorithm to detect experiment type and controls; data normalization including growth rate normalization; dose–response analysis; drug synergism calculations using Bliss Independence (BI), Zero Interaction Potency (ZIP), and Highest Single Agent (HAS); processing of real-time and endpoint assay data; export of results as text files and PDF figures.