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beta-passthrough: Beta Passthrough (non-phylogenetic)¶
Docstring:
Usage: qiime diversity-lib beta-passthrough [OPTIONS] Computes a distance matrix for all pairs of samples in a feature table using the scikit-bio implementation of the selected beta diversity metric. Inputs: --i-table ARTIFACT FeatureTable[Frequency] The feature table containing the samples over which beta diversity should be computed. [required] Parameters: --p-metric TEXT Choices('aitchison', 'canberra', 'canberra_adkins', 'chebyshev', 'cityblock', 'correlation', 'cosine', 'dice', 'euclidean', 'hamming', 'jensenshannon', 'matching', 'minkowski', 'rogerstanimoto', 'russellrao', 'seuclidean', 'sokalmichener', 'sokalsneath', 'sqeuclidean', 'yule') The beta diversity metric to be computed. [required] --p-pseudocount INTEGER Range(1, None) A pseudocount to handle zeros for compositional metrics. This is ignored for non-compositional metrics. [default: 1] --p-n-jobs NTHREADS The number of concurrent jobs to use in performing this calculation. May not exceed the number of available physical cores. If n-jobs = 'auto', one job will be launched for each identified CPU core on the host. [default: 1] 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). --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. Examples: # ### example: run on one core (by default) qiime diversity-lib beta-passthrough \ --i-table feature-table.qza \ --p-metric euclidean \ --o-distance-matrix euclidean-dm.qza # ### example: to run on n cores, replace 1 here with your preferred integer qiime diversity-lib beta-passthrough \ --i-table feature-table.qza \ --p-metric euclidean \ --p-n-jobs 1 \ --o-distance-matrix euclidean-dm.qza # ### example: use 'auto' to run on all of host system's available CPU cores # A default pseudocount of 1 is added to feature counts. Pseudocount is # ignored for non-compositional metrics. qiime diversity-lib beta-passthrough \ --i-table feature-table.qza \ --p-metric aitchison \ --p-n-jobs auto \ --o-distance-matrix aitchison-dm.qza # ### example: use 'pseudocount' to manually set a pseudocount for # compositional metrics qiime diversity-lib beta-passthrough \ --i-table feature-table.qza \ --p-metric aitchison \ --p-n-jobs auto \ --p-pseudocount 5 \ --o-distance-matrix aitchison-dm.qza
Import:
from qiime2.plugins.diversity_lib.methods import beta_passthrough
Docstring:
Beta Passthrough (non-phylogenetic) Computes a distance matrix for all pairs of samples in a feature table using the scikit-bio implementation of the selected beta diversity metric. Parameters ---------- table : FeatureTable[Frequency] The feature table containing the samples over which beta diversity should be computed. metric : Str % Choices('aitchison', 'canberra', 'canberra_adkins', 'chebyshev', 'cityblock', 'correlation', 'cosine', 'dice', 'euclidean', 'hamming', 'jensenshannon', 'matching', 'minkowski', 'rogerstanimoto', 'russellrao', 'seuclidean', 'sokalmichener', 'sokalsneath', 'sqeuclidean', 'yule') The beta diversity metric to be computed. pseudocount : Int % Range(1, None), optional A pseudocount to handle zeros for compositional metrics. This is ignored for non-compositional metrics. n_jobs : Threads, optional The number of concurrent jobs to use in performing this calculation. May not exceed the number of available physical cores. If n_jobs = 'auto', one job will be launched for each identified CPU core on the host. Returns ------- distance_matrix : DistanceMatrix The resulting distance matrix.