Beta Diversity

PCoA

Principal Coordinate Analysis for beta diversity visualization. Explore microbiome community dissimilarities and ecological distances in hibernating species.

Key Features

1

Distance matrix input

Bray-Curtis, UniFrac, Jaccard support

2

2D/3D scatter

Flexible dimension selection

3

PERMANOVA

Statistical group separation testing

4

Adonis R2

Variance partitioning display

Color Palette

Analysis Tip

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

Data Input

Upload Data

Drop Expression Matrix (data.txt)

Gene rows x Sample columns, tab-separated

Drop Group File (class.txt)

Sample | Group, tab-separated, no rownames

Requires both expression matrix and group file

Parameters

PCoA Visualization

Upload data and click "Generate PCoA" 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.