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beta-phylogenetic: Beta diversity (phylogenetic)¶
Docstring:
Usage: qiime diversity beta-phylogenetic [OPTIONS] Computes a user-specified phylogenetic beta diversity metric for all pairs of samples in a feature table. Inputs: --i-table ARTIFACT FeatureTable[Frequency | RelativeFrequency | PresenceAbsence] The feature table containing the samples over which beta diversity should be computed. [required] --i-phylogeny ARTIFACT Phylogenetic tree containing tip identifiers that Phylogeny[Rooted] correspond to the feature identifiers in the table. This tree can contain tip ids that are not present in the table, but all feature ids in the table must be present in this tree. [required] Parameters: --p-metric TEXT Choices('generalized_unifrac', 'unweighted_unifrac', 'weighted_normalized_unifrac', 'weighted_unifrac') The beta diversity metric to be computed. [required] --p-threads NTHREADS The number of CPU threads to use in performing this calculation. May not exceed the number of available physical cores. If threads = 'auto', one thread will be created for each identified CPU core on the host. [default: 1] --p-variance-adjusted / --p-no-variance-adjusted Perform variance adjustment based on Chang et al. BMC Bioinformatics 2011. Weights distances based on the proportion of the relative abundance represented between the samples at a given node under evaluation. [default: False] --p-alpha PROPORTION Range(0, 1, inclusive_end=True) This parameter is only used when the choice of metric is generalized_unifrac. The value of alpha controls importance of sample proportions. 1.0 is weighted normalized UniFrac. 0.0 is close to unweighted UniFrac, but only if the sample proportions are dichotomized. [optional] --p-bypass-tips / --p-no-bypass-tips In a bifurcating tree, the tips make up about 50% of the nodes in a tree. By ignoring them, specificity can be traded for reduced compute time. This has the effect of collapsing the phylogeny, and is analogous (in concept) to moving from 99% to 97% OTUs [default: False] Outputs: --o-distance-matrix ARTIFACT DistanceMatrix The resulting distance matrix. [required] Miscellaneous: --output-dir PATH Output unspecified results to a directory --verbose / --quiet Display verbose output to stdout and/or stderr during execution of this action. Or silence output if execution is successful (silence is golden). --recycle-pool TEXT Use a cache pool for pipeline resumption. QIIME 2 will cache your results in this pool for reuse by future invocations. These pool are retained until deleted by the user. If not provided, QIIME 2 will create a pool which is automatically reused by invocations of the same action and removed if the action is successful. Note: these pools are local to the cache you are using. --no-recycle Do not recycle results from a previous failed pipeline run or save the results from this run for future recycling. --parallel Execute your action in parallel. This flag will use your default parallel config. --parallel-config FILE Execute your action in parallel using a config at the indicated path. --example-data PATH Write example data and exit. --citations Show citations and exit. --use-cache DIRECTORY Specify the cache to be used for the intermediate work of this action. If not provided, the default cache under $TMP/qiime2/will be used. IMPORTANT FOR HPC USERS: If you are on an HPC system and are using parallel execution it is important to set this to a location that is globally accessible to all nodes in the cluster. --help Show this message and exit.
Import:
from qiime2.plugins.diversity.pipelines import beta_phylogenetic
Docstring:
Beta diversity (phylogenetic) Computes a user-specified phylogenetic beta diversity metric for all pairs of samples in a feature table. Parameters ---------- table : FeatureTable[Frequency | RelativeFrequency | PresenceAbsence] The feature table containing the samples over which beta diversity should be computed. phylogeny : Phylogeny[Rooted] Phylogenetic tree containing tip identifiers that correspond to the feature identifiers in the table. This tree can contain tip ids that are not present in the table, but all feature ids in the table must be present in this tree. metric : Str % Choices('generalized_unifrac', 'unweighted_unifrac', 'weighted_normalized_unifrac', 'weighted_unifrac') The beta diversity metric to be computed. threads : Threads, optional The number of CPU threads to use in performing this calculation. May not exceed the number of available physical cores. If threads = 'auto', one thread will be created for each identified CPU core on the host. variance_adjusted : Bool, optional Perform variance adjustment based on Chang et al. BMC Bioinformatics 2011. Weights distances based on the proportion of the relative abundance represented between the samples at a given node under evaluation. alpha : Float % Range(0, 1, inclusive_end=True), optional This parameter is only used when the choice of metric is generalized_unifrac. The value of alpha controls importance of sample proportions. 1.0 is weighted normalized UniFrac. 0.0 is close to unweighted UniFrac, but only if the sample proportions are dichotomized. bypass_tips : Bool, optional In a bifurcating tree, the tips make up about 50% of the nodes in a tree. By ignoring them, specificity can be traded for reduced compute time. This has the effect of collapsing the phylogeny, and is analogous (in concept) to moving from 99% to 97% OTUs Returns ------- distance_matrix : DistanceMatrix The resulting distance matrix.