Cluster Heatmap Generator
Create publication-ready hierarchical clustered heatmaps with dendrograms for gene expression analysis, proteomics data, and other high-dimensional biological datasets. Features advanced clustering algorithms and customizable visualizations.
Cluster Heatmap Visualization
Interactive hierarchical clustered heatmap with dendrograms
Data Input
Upload files or generate sample data
No Data Loaded
Upload your expression data or generate sample data to create a clustered heatmap with dendrograms.
Advanced Cluster Heatmap Generator
Create publication-ready hierarchical clustered heatmaps with cutting-edge algorithms, stunning visualizations, and ultra-high quality exports—all in your browser.
Advanced Hierarchical Clustering
Professional-grade clustering algorithms with multiple linkage methods and distance metrics.
- Ward, Complete, Average, Single linkage methods
- Correlation, Euclidean, Manhattan, Cosine distances
- Automatic optimal cluster detection
- Publication-quality dendrograms
Smart Data Normalization
Comprehensive preprocessing options for optimal clustering results across data types.
- Z-score, Quantile, Min-Max normalization
- Log2/Log10 transformations for count data
- Row-wise or column-wise standardization
- Robust outlier handling
Stunning Visual Customization
20+ color schemes and extensive styling options for publication-ready figures.
- RdBu, Viridis, Plasma color schemes
- Custom font weights and sizes
- Adjustable margins and spacing
- Interactive legend positioning
Ultra-High Quality Export
Professional export options with 600 DPI resolution for manuscripts and presentations.
- PNG, SVG, PDF, JPEG formats
- 600 DPI ultra-high resolution
- Vector graphics for infinite scalability
- AdobeRGB color profile support
Flexible Data Input
Support for multiple file formats with intelligent column mapping and validation.
- CSV, TSV, Excel file support
- Automatic delimiter detection
- Smart column mapping interface
- Missing value handling
Pre-loaded Sample Datasets
Ready-to-use datasets for learning and testing with real biological data.
- Circadian rhythm time series
- Gene expression case studies
- Proteomics and metabolomics examples
- Instant visualization for learning
Perfect for Every Research Application
From genomics to proteomics, our tool adapts to your research needs
Gene Expression Analysis
Cluster RNA-seq and microarray data to identify co-expressed genes and sample groups
Common Applications:
- Tumor vs Normal comparison
- Time course experiments
- Drug response studies
Proteomics Research
Analyze protein abundance patterns across conditions and treatments
Common Applications:
- Biomarker discovery
- Pathway analysis
- Disease progression studies
Single Cell Analysis
Visualize cell type clusters and gene expression patterns in scRNA-seq data
Common Applications:
- Cell type identification
- Developmental trajectories
- Disease state analysis
Metabolomics Studies
Explore metabolite profiles and identify metabolic signatures
Common Applications:
- Disease biomarkers
- Drug metabolism
- Nutritional studies
Trusted by Researchers Worldwide
Privacy Protected
Your data never leaves your browser. Complete privacy guaranteed.
Instant Results
No software installation. Start analyzing your data immediately.
Publication Ready
600 DPI exports meet all journal requirements for figure quality.
Frequently Asked Questions
Everything you need to know about creating publication-ready cluster heatmaps
What is a cluster heatmap and when should I use it?General
What file formats can I upload? How should I format my data?Data & Upload
Which clustering method should I choose?Analysis
When should I normalize my data and which method to use?Analysis
How do I export publication-quality figures?Export
What sample datasets are available for testing?Data & Upload
How can I customize the appearance of my heatmap?General
My file won't upload or the heatmap looks wrong. What should I check?Troubleshooting
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