Heatmapper

Heatmapper visualizes diverse biological and geospatial datasets as heat maps for comparative analysis of expression, correlation, distance, and geographic patterns.

Key Features:

• Expression-based heat maps: Generates heat maps from transcriptomic, proteomic, and metabolomic experiment data.
• Pairwise distance maps: Produces pairwise distance matrices to illustrate relationships between data points.
• Correlation maps: Computes and visualizes statistical correlation matrices within datasets.
• Image overlay heat maps: Integrates quantitative metrics with image data via heat map overlays.
• Latitude and longitude heat maps: Maps quantitative data to latitude/longitude coordinates for geospatial visualization.
• Geopolitical (choropleth) heat maps: Displays data across geographical regions using choropleth mapping.
• Customization options: Allows adjustment of appearance and plotting parameters for generated heat maps.
• Input formats: Accepts data in text, Excel, and tab-delimited table formats.
• Export formats: Exports resulting heat maps to PNG, JPG, and PDF image formats.

Scientific Applications:

• Molecular biology: Visualization of transcriptomic, proteomic, and metabolomic expression patterns.
• Structural biology: Visualization of distance- and correlation-based matrices relevant to structural analyses.
• Microbiology: Visualization of microbial dataset patterns using expression, distance, and correlation heat maps.
• Epidemiology: Spatial and matrix-based visualization of epidemiological data.
• Environmental science: Visualization of environmental measurements across locations and variables.
• Agriculture and forestry: Visualization of agronomic and forestry datasets for comparative analysis.
• Fish and wildlife biology: Visualization of ecological and population data across space and variables.
• Climatology: Geospatial visualization of climate-related data using latitude/longitude and choropleth maps.
• Geology: Visualization of geospatial and matrix-derived geological datasets.
• Education and training: Use of heat maps for teaching data visualization concepts in biological and geospatial contexts.

Methodology:

Processes input text, Excel, or tab-delimited tables to generate expression-based heat maps, compute pairwise distance matrices and correlation matrices, create image-overlay heat maps, map data to latitude/longitude coordinates, produce geopolitical (choropleth) maps, and export figures to PNG, JPG, or PDF.