VolcaNoseR

VolcaNoseR generates volcano plots to visualize effect size versus statistical significance for exploration of comparative genome- and proteome-wide datasets and identification of significant hits.

Key Features:

• Interactive visualization: Plots effect size against statistical significance in volcano plots to highlight data points with large effects and strong significance.
• Annotation of hits: Labels specific hits with their names to identify genes or proteins among thousands of data points.
• Threshold customization: Supports adjustment of significance and effect-size thresholds to classify hits based on user-defined criteria.
• Data integration: Retrieves datasets from online repositories using user-defined settings for direct plotting of external data.

Scientific Applications:

• Genome- and proteome-wide screens: Visualization of large-scale comparative datasets to identify candidate genes or proteins with significant changes.
• Genomics and proteomics analysis: Prioritization of hits for downstream biological validation based on combined effect size and statistical significance.
• Systems biology: Exploration of global perturbation patterns to inform hypotheses about biological interactions and pathways.

Methodology:

Implemented in R/shiny, the application performs dynamic data visualization and manipulation and integrates with online data repositories to retrieve datasets for volcano-plot generation.