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Alpha diversity metrics
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Alpha diversity metrics See also Alpha diversity alpha_div command alpha_div_rare command beta_div command Interpreting diversity metrics Recommended alpha and beta metrics Comparing alpha diversity between groups Statistical significance of diversity differences
While many of these alpha diversity metrics are commonly used in OTU analysis, in fact many of them are invalid or hard to interpret for OTUs constructed from NGS amplicon reads .
Diversity metrics| Name | Units | Description |
| richness | OTUs | Number of OTUs with at least one read for the sample. |
| mirror | OTUs | See mirror estimator . |
| FE | OTUs | See singleton-free estimator . |
| chao1 | OTUs | Chao-1 estimator, calculated as N + S 2 / (2 D) where N is the number of OTUs, S is the number of singleton OTUs and D is the number of doublet OTUs, i.e. OTUs with abundance 2. |
| shannon_2 | bits | Shannon index (logs to base 2). |
| shannon_e | nats | Shannon index (logs to base e). |
| shannon_10 | dits | Shannon index (logs to base 10). |
| jost | OTUs | Jost index of order q where q is specified by the -jostq command-line option, default 1.5. |
| jost1 | OTUs | Jost index of order 1, the effective number of species given by the Shannon index . |
| Name | Units | Description |
| simpson | Probability | Simpson index , calculated as the sum over OTUs of f 2 where f is the frequency of the OTU. It is the probability that two randomly selected reads will belong to the same OTU. A value close to 1 indicates that a single large OTU dominates the sample, small values indicate that the reads are distributed over many OTUs. |
| dominance | Probability | Probability that two randomly selected reads will belong to d ifferent OTUs. Calculated as 1 - simpson. |
| equitability | ? | Also called Peilou's evenness. Entropy (Shannon index) divided by the logarithm of the number of OTUs. Value of 1 indicates perfectly even (equal abundances), small values indicate a highly skewed abundance distribution. |
| robbins | Frequency | Robbins index, calculated as S / (N + 1) where S is the number of singleton OTUs and N is the total number of OTUs. |
| berger_parker | Frequency | Berger-Parker index . Frequency of the most abundant OTU. A value close to 1 indicates that a single large OTU dominates the sample, small values indicate that the reads are distributed over many OTUs. |
| Name | Units | Description |
| reads | Reads | Total number of reads for the sample. |
Search the AlphaFold DB online in seconds > Tag » How To Calculate Alpha Diversity
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