# Diversity analysis

### (Alpha diversity > Rarefaction Curve)

#### Rarefaction Curve (ASVs)
Select a Group Type:

* Alpha rarefaction graph shows whether the number of reads used in analysis was sufficient in identifying species/ASV. If the curve becomes flatter to the right, it indicates that a reasonable number of reads have been used in the analysis,thus additional sequencing is not necessary. In contrast, if the graph does not plateau, the additional reads is likely to discover more ASVs for the sample (x-axis: read number; y-axis: number of ASVS). Below each plot is a table displaying average values for each measure of alpha diversity for each group of samples the specified category.
* Metric : ASVs

#### Rarefaction Curve (Chao1)
Select a Group Type:

* Alpha rarefaction graph shows whether the number of reads used in analysis was sufficient in identifying species/ASV. If the curve becomes flatter to the right, it indicates that a reasonable number of reads have been used in the analysis,thus additional sequencing is not necessary. In contrast, if the graph does not plateau, the additional reads is likely to discover more ASVs for the sample (x-axis: read number; y-axis: number of ASVS). Below each plot is a table displaying average values for each measure of alpha diversity for each group of samples the specified category.
* Metric : Chao1

#### Rarefaction Curve (Shannon)
Select a Group Type:

* Alpha rarefaction graph shows whether the number of reads used in analysis was sufficient in identifying species/ASV. If the curve becomes flatter to the right, it indicates that a reasonable number of reads have been used in the analysis,thus additional sequencing is not necessary. In contrast, if the graph does not plateau, the additional reads is likely to discover more ASVs for the sample (x-axis: read number; y-axis: number of ASVS). Below each plot is a table displaying average values for each measure of alpha diversity for each group of samples the specified category.
* Metric : Shannon

#### Rarefaction Curve (Faiths_PD)
Select a Group Type:

* Alpha rarefaction graph shows whether the number of reads used in analysis was sufficient in identifying species/ASV. If the curve becomes flatter to the right, it indicates that a reasonable number of reads have been used in the analysis,thus additional sequencing is not necessary. In contrast, if the graph does not plateau, the additional reads is likely to discover more ASVs for the sample (x-axis: read number; y-axis: number of ASVS). Below each plot is a table displaying average values for each measure of alpha diversity for each group of samples the specified category.
* Metric : Faith's PD

#### Rarefaction Curve (Simpson)
Select a Group Type:

* Alpha rarefaction graph shows whether the number of reads used in analysis was sufficient in identifying species/ASV. If the curve becomes flatter to the right, it indicates that a reasonable number of reads have been used in the analysis,thus additional sequencing is not necessary. In contrast, if the graph does not plateau, the additional reads is likely to discover more ASVs for the sample (x-axis: read number; y-axis: number of ASVS). Below each plot is a table displaying average values for each measure of alpha diversity for each group of samples the specified category.
* Metric : Simpson

#### Rarefaction Curve (Gini-Simpson)
Select a Group Type:

* Alpha rarefaction graph shows whether the number of reads used in analysis was sufficient in identifying species/ASV. If the curve becomes flatter to the right, it indicates that a reasonable number of reads have been used in the analysis,thus additional sequencing is not necessary. In contrast, if the graph does not plateau, the additional reads is likely to discover more ASVs for the sample (x-axis: read number; y-axis: number of ASVS). Below each plot is a table displaying average values for each measure of alpha diversity for each group of samples the specified category.
* Metric : Gini-Simpson

#### 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