Expression Visualization

Heatmap

Generate publication-quality heatmaps using R pheatmap. Upload expression matrix and group annotation files to produce clustered heatmaps with sample annotations. Supports row/column scaling, multiple color schemes, and PDF export.

Key Features

1

Hierarchical clustering

Row/column clustering with dendrograms

2

Annotation tracks

Color bars for species, stage, tissue

3

Scale options

Z-score, log2, row-wise normalization

4

Split heatmap

Side-by-side group comparison

Color Palette

Analysis Tip

Upload your gene expression matrix or analysis results in CSV/TSV format. The tool will automatically generate a publication-quality heatmap figure ready for your hibernation omics manuscript.

Data Input

Upload Data

Gene x Sample matrix (TSV)

Rows=genes, Cols=samples

Sample group annotation (TSV)

id + Type columns

Parameters

Heatmap Visualization

Upload data and click "Generate Heatmap" to visualize

Example Output

Input: Expression matrix (genes x samples)

Input Format

Gene expression matrix with genes as rows and samples as columns. Supports CSV, TSV, and tab-delimited text files.

Output: Clustered heatmap with dendrograms

Output Features

Hierarchical clustering dendrograms, color scale legend, gene/sample labels, and annotation tracks for group metadata.