# Diversity analysis

(beta diversity: between sample diversity)

#### PCoA (bray-curtis)
Select a Group Type:

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Principal Coordinates Analysis (PCoA) were performed using the Bray Curtis distance between samples.
Gower, J. C. (1966). Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika, 53(3-4), 325-338.
Bray, J. R., and J. T. Curtis. (1957). An ordination of the upland forest communities of southern Wisconsin. Ecological Monographs 27:325–349.

#### PCoA (weighted-unifrac)
Select a Group Type:

Plot Controls
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Principal Coordinates Analysis (PCoA) were performed using the Weighted UniFrac distance between samples.
Gower, J. C. (1966). Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika, 53(3-4), 325-338.
Lozupone, C., Lladser, M. E., Knights, D., Stombaugh, J., & Knight, R. (2011). UniFrac: an effective distance metric for microbial community comparison. The ISME journal, 5(2), 169-172.

#### PCoA (unweighted-unifrac)
Select a Group Type:

Plot Controls
X :
Y :
X :
Y :
Z :

Principal Coordinates Analysis (PCoA) were performed using the Unweighted UniFrac distance between samples.
Gower, J. C. (1966). Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika, 53(3-4), 325-338.
Lozupone, C., Lladser, M. E., Knights, D., Stombaugh, J., & Knight, R. (2011). UniFrac: an effective distance metric for microbial community comparison. The ISME journal, 5(2), 169-172.

#### Group Management

#### How to Customize Groups:

1. Click Download Template to get the `metadata.xlsx` file.
2. Open the file and specify your custom groups for each sample in the 'Group' sheet.
3. Save the changes and click Upload File to apply your custom grouping.

Important: Custom group settings are temporary. If you navigate away or refresh this page, you will need to re-upload the file.

Download Template Upload File