Available Software

Here you will find our current processing recommendations.
Plugin Commands
ID 2: BIOM type, 2.1.4 - Qiime2
Command Name Resource Allocation
ID 4: Validate -p qiita -N 1 -n 1 --mem 60gb --time 25:00:00
ID 5: Generate HTML summary -p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00
ID 5: deblur, 2021.09
Command Name Resource Allocation
ID 35: Deblur 2021.09 -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 6: qiime2, 2023.5.1
Command Name Resource Allocation
ID 52: Beta diversity (phylogenetic) [beta_phylogenetic] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 47: Alpha diversity (phylogenetic) [alpha_phylogenetic] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 51: Core diversity metrics (phylogenetic and non-phylogenetic) [core_metrics_phylogenetic] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 48: Alpha diversity [alpha] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 45: Beta diversity [beta] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 49: Core diversity metrics (non-phylogenetic) [core_metrics] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 63: Subsample table [subsample] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 53: Rarefy table [rarefy] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 59: Convert to presence/absence [presence_absence] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 62: Generate a heatmap representation of a feature table [heatmap] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 57: Convert to relative frequencies [relative_frequency] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 55: Filter features from table [filter_features] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 60: Renames sample or feature ids in a table [rename_ids] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 58: Filter samples from table [filter_samples] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 56: Identify core features in table [core_features] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 54: Filter features from a table based on abundance and prevalence [filter_features_conditionally] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 64: Transpose a feature table. [transpose] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 66: Mislabelings within dataset [within_dataset] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 67: Remove features from table if they're not present in tree. [filter_table] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 65: Mislabelings against dataset [against_dataset] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 68: Nested cross-validated supervised learning classifier. [classify_samples_ncv] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 44: Add pseudocount to table. [add_pseudocount] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 74: Taxonomy-based feature table filter. [filter_table] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 70: Split a feature table into training and testing sets. [split_table] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 72: Visualize taxonomy with an interactive bar plot [barplot] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 73: Collapse features by their taxonomy at the specified level [collapse] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 75: Principal Coordinate Analysis Biplot [pcoa_biplot] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 77: Linear mixed effects modeling [linear_mixed_effects] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 76: Nonparametric microbial interdependence test [nmit] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 83: t-distributed stochastic neighbor embedding [tsne] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 84: Uniform Manifold Approximation and Projection [umap] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 61: Summarize table [summarize] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 69: Nested cross-validated supervised learning regressor. [regress_samples_ncv] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 85: Filter samples from a distance matrix. [filter_distance_matrix] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 95: Visualize and Interact with Principal Coordinates Analysis Plots [plot] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 96: Alpha diversity comparisons [alpha_group_significance] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 80: Paired difference testing and boxplots [pairwise_differences] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 46: Beta diversity rarefaction [beta_rarefaction] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 43: Visualize and Interact with Principal Coordinates Analysis Biplot [biplot] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 81: Apply ANCOM to identify features that differ in abundance. [ancom] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 71: Convert (and merge) positive numeric metadata (in)to feature table. [metatable] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 78: Compute first differences or difference from baseline between sequential states [first_differences] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 79: Generate interactive volatility plot [volatility] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 98: Make a confusion matrix from sample classifier predictions. [confusion_matrix] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 99: Filter features against reference [filter_features] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 100: Non V4 16S sequence assessment [non_v4_16s] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 50: Alpha rarefaction curves [alpha_rarefaction] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 97: Alpha diversity correlation [alpha_correlation] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 42: Pre-fitted sklearn-based taxonomy classifier [classify_sklearn] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 82: Beta diversity correlation [beta_correlation] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 93: Run k-nearest-neighbors on a labeled distance matrix. [classify_samples_from_dist] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 94: UMAP Embedding [embed] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 90: adonis PERMANOVA test for beta group significance [adonis] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 87: Principal Coordinate Analysis [pcoa] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 89: bioenv [bioenv] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 86: Beta diversity group significance [beta_group_significance] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 88: Apply the Mantel test to two distance matrices [mantel] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 91: Paired pairwise distance testing and boxplots [pairwise_distances] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 92: Compute first distances or distance from baseline between sequential states [first_distances] -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 7: QIIMEq2, 1.9.2
Command Name Resource Allocation
ID 38: Trimming -p qiita -N 1 -n 1 --mem 120gb --time 80:00:00
ID 41: Split libraries FASTQ -p qiita -N 1 -n 1 --mem 120gb --time 80:00:00
ID 39: Pick closed-reference OTUs -p qiita -N 1 -n 5 --mem 120gb --time 130:00:00
ID 40: Split libraries -p qiita -N 1 -n 1 --mem 60gb --time 25:00:00
ID 8: Diversity types, 2023.02
Command Name Resource Allocation
ID 31: Validate -p qiita -N 1 -n 1 --mem 60gb --time 25:00:00
ID 32: Generate HTML summary -p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00
ID 9: qtp-job-output-folder, 2021.08
Command Name Resource Allocation
ID 36: Validate -p qiita -N 1 -n 1 --mem 60gb --time 25:00:00
ID 37: Generate HTML summary -p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00
ID 10: Sequencing Data Type, 2022.11
Command Name Resource Allocation
ID 29: Validate -p qiita -N 1 -n 1 --mem 60gb --time 25:00:00
ID 30: Generate HTML summary -p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00
ID 11: Visualization types, 0.1.0
Command Name Resource Allocation
ID 33: Validate -p qiita -N 1 -n 1 --mem 60gb --time 25:00:00
ID 34: Generate HTML summary -p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00
ID 12: qp-woltka, 2024.09
Command Name Resource Allocation
ID 101: Woltka v0.1.7, paired-end -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 102: Remove SynDNA plasmid, insert, & CP026085 reads -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 103: Calculate Cell Counts -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 104: Calculate RNA Copy Counts -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 13: qp-meta, 2024.10
Command Name Resource Allocation
ID 105: SortMeRNA v4.3.7 -p qiita -N 1 -n 5 --mem-per-cpu 8gb --time 168:00:00
ID 14: Genome Data Type, 2026.09
Command Name Resource Allocation
ID 106: Validate -p qiita -N 1 -n 1 --mem 60gb --time 25:00:00
ID 107: Generate HTML summary -p qiita -N 1 -n 1 --mem-per-cpu 8gb --time 50:00:00