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ID 431: Pre-fitted sklearn-based taxonomy classifier [classify_sklearn]
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-q qiita -l nodes=1:ppn=5 -l mem=84gb -l walltime=150:00:00 |
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ID 430: Alpha diversity correlation [alpha_correlation]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 429: Alpha diversity comparisons [alpha_group_significance]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 428: Visualize and Interact with Principal Coordinates Analysis Plots [plot]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 427: Filter samples from a distance matrix. [filter_distance_matrix]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 426: Principal Coordinate Analysis [pcoa]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 425: bioenv [bioenv]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 424: Beta diversity group significance [beta_group_significance]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 423: Beta diversity correlation [beta_correlation]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 422: adonis PERMANOVA test for beta group significance [adonis]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 421: Compute first distances or distance from baseline between sequential states [first_distances]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 420: Paired pairwise distance testing and boxplots [pairwise_distances]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 419: Run k-nearest-neighbors on a labeled distance matrix. [classify_samples_from_dist]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 418: Compute first differences or difference from baseline between sequential states [first_differences]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 417: Linear mixed effects modeling [linear_mixed_effects]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 416: Plot longitudinal feature volatility and importances [plot_feature_volatility]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 415: Nonparametric microbial interdependence test [nmit]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 414: Paired difference testing and boxplots [pairwise_differences]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 413: Generate interactive volatility plot [volatility]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 412: Add pseudocount to table [add_pseudocount]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 411: Beta diversity [beta]
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-q qiita -l nodes=1:ppn=5 -l mem=16gb -l walltime=35:00:00 |
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ID 410: Alpha diversity [alpha]
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-q qiita -l nodes=1:ppn=1 -l mem=16gb -l walltime=3:00:00 |
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ID 409: Beta diversity rarefaction [beta_rarefaction]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 408: Core diversity metrics (non-phylogenetic) [core_metrics]
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-q qiita -l nodes=1:ppn=5 -l mem=16gb -l walltime=35:00:00 |
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ID 407: Beta diversity (phylogenetic) [beta_phylogenetic]
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-q qiita -l nodes=1:ppn=5 -l mem=8gb -l walltime=35:00:00 |
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ID 406: Alpha diversity (phylogenetic) [alpha_phylogenetic]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 405: Alpha rarefaction curves [alpha_rarefaction]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=100:00:00 |
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ID 404: Core diversity metrics (phylogenetic and non-phylogenetic) [core_metrics_phylogenetic]
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-q qiita -l nodes=1:ppn=5 -l mem=40gb -l walltime=35:00:00 |
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ID 403: Filter samples from table [filter_samples]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 402: Subsample table [subsample]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 401: Summarize table [summarize]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 400: Rarefy table [rarefy]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 399: Identify core features in table [core_features]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 398: Renames sample or feature ids in a table [rename_ids]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 397: Transpose a feature table. [transpose]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 396: Convert to relative frequencies [relative_frequency]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 395: Convert to presence/absence [presence_absence]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 394: Filter features from table [filter_features]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 393: Generate a heatmap representation of a feature table [heatmap]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 392: Remove features from table if they're not present in tree. [filter_table]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 391: Generate heatmap of important features. [heatmap]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 390: Convert (and merge) positive numeric metadata (in)to feature table. [metatable]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 389: Nested cross-validated supervised learning classifier. [classify_samples_ncv]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 388: Split a feature table into training and testing sets. [split_table]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 387: Nested cross-validated supervised learning regressor. [regress_samples_ncv]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 386: Taxonomy-based feature table filter. [filter_table]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 385: Visualize taxonomy with an interactive bar plot [barplot]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
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ID 384: Collapse features by their taxonomy at the specified level [collapse]
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-q qiita -l nodes=1:ppn=1 -l mem=8gb -l walltime=32:00:00 |
