Beta Diversity

PCoA

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

Key Features

Distance matrix input

Bray-Curtis, UniFrac, Jaccard support

2D/3D scatter

Flexible dimension selection

PERMANOVA

Statistical group separation testing

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 dormancy 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

Or paste expression matrix

Required Files

data.tsv — Feature x Sample matrix
group.tsv — Group annotation (optional)

Format

Data: Row = features, Col = samples
1st row: sample names
1st col: feature names
Group: Sample | Group pairs

Feature Matrix

Gene	S1	S2	S3	S4	S5
Gene1	5.2	6.1	4.8	7.2	6.5
Gene2	3.1	2.8	4.5	3.9	3.5

Click to load example data and generate plot instantly

Requires both expression matrix and group file

Parameters

Clustering Method

Distance Metric

Scale

Color Scheme

PCoA Visualization

Upload data and click "Generate PCoA" to visualize