PlotTwist

PlotTwist visualizes time-dependent experimental data, particularly from time-lapse experiments, to support analysis and comparison of dynamic biological processes.

Key Features:

• Data Visualization Options: Provides lines with unique colors, small multiples, and heatmap-style displays to depict individual trajectories and patterns across large time-series datasets.
• Statistical Overlays: Adds statistical summaries such as the mean and 95% confidence intervals to plots for visual comparison between conditions.
• Customization and Accessibility: Supports transparency control via alpha settings and offers color blind friendly palettes for interpretable color coding.
• Data Normalization and Annotation: Accepts wide and tidy data formats and provides normalization options, plus plot annotation with graphical features or text to indicate experimental perturbations.
• Reproducibility: Saves all user-defined settings to enable reproducible and consistent visualizations across sessions.
• Multi-Condition Comparison: Allows upload of multiple files in CSV or XLS format, each representing different experimental conditions for comparative analyses.

Scientific Applications:

• Developmental biology: Visualization and comparison of time-lapse measurements across developmental stages.
• Cell cycle studies: Analysis of temporal dynamics and condition-dependent differences in cell cycle progression.
• Dynamic biological processes: Examination of temporal responses and perturbation effects in experiments involving dynamic processes.

Methodology:

Implemented with R/shiny; accepts wide (spreadsheet) and tidy data formats and provides data normalization options.