| Name | Short Description | Language |
| ABRGeneLength | Length of antibacterial resistant genes | Python |
| ALC | Approximate line count | C++ |
| Accuracy | Prediction accuracy | R |
| AntibioticBox | Boxplot of antibiotic resistant taxa abundances | R |
| Atima | Atima (Weick et al, 2000) (Generated by PluGen) | C++ |
| AUC | Area under the curve | Python |
| AUPRCMultiple | Area under precision recall curve (multiple) | Python |
| AverageDistance | Compute average distance | Python |
| BAMCoverage | Compute coverage of a BAM file | C++ |
| BAMDepth | Compute depth of a BAM file | C++ |
| BamHash | Generate a checksum for a FASTA (Oskarsdottir et al, 2016) | C++ |
| BAMStats | Take a BAM as input and output stats (Barnett et al, 2011) | C++ |
| Banner | Customizeable software banner | Python |
| BenjaminiHochberg | Benjamini-Hochberg p-value correction (Benjamini and Hochberg, 1995) | Python |
| BlandAltman | Bland-Altman plot (Bland and Altman, 1983) | Python |
| BLASTFreq | Most frequent BLAST hits | C++ |
| BLASTTop | Top BLAST hits | C++ |
| BlockPlot | Block | R |
| Bonferroni | Bonferroni p-value correction (Bonferroni, 1936) | Python |
| BoxPlot | Produce a boxplot | R |
| BoxSelect | Produce multiple boxplots of selected data elements | R |
| BoxWhisker | Box-and-whisker plot | Python |
| BWPlot | Box and whisker plot | R |
| CalcMeanStd | Calculates Mean and Standard Deviation | Python |
| CalibrationCurve | Characterize consistency between class probabilities and event rates | R |
| ClosestBed | Find closest BED | C++ |
| ContigStats | Contig stats | C++ |
| CountPlot | Plot of counts | Python |
| CQNPlot | Conditional Quantile Normalization Plot (Wu et al, 2012) | R |
| CSVAverage | Average column values of a CSV file | Python |
| CSVCheck | Check for validity, and number of observables | Python |
| CSVDup | List duplicate row and column entries in a CSV file. | Python |
| CSVMax | Determines Maximum Count Within Samples | Python |
| CSVOverlap | Vector overlap | Python |
| CheckSignificance | Check significance of result | Python |
| CountReads | Count number of reads | Python |
| CoverageBed | Calculate the coverage of mapped reads at each location on the reference genome (Liao et al, 2013) | C++ |
| CoveragePlot | Plot read coverage | R |
| DenNHist | Density plot (q-values) | R |
| Density | Density plot (normalized abundance vs frequency) of a target taxon | R |
| DensityOverlay | Density overlay plot | R |
| DensityPlot | Density plot (general) | R |
| DeterminePhred | Determine Phred score | C++ |
| DimHeatmap | Dimensionality heatmap | R |
| DimPlot | Dimensionality plot | R |
| DivideHighLow | Separate taxa into highly and lowly abundant | Python |
| DMDSPlot | DMDS Plot (Nowicka et al, 2016) | R |
| Dominance | Dominance index (Locey and Lennon, 2016) | R |
| DotPlot | Dot plot | R |
| DoubleTest | Double a list of values | Python |
| ElbowPlot | Elbow plot | R |
| ErrorRate | Error statistics in sequence bases | R |
| Evenness | Evenness indices | R |
| FASTACount | Count the number of sequences in a FASTA file | Python |
| FASTAStats | FASTA file statistics | Python |
| FASTQStats | Stats on FASTQ file | C++ |
| FeaturePlot | Feature plot | R |
| FeatureScatter | Feature scatter plot | R |
| FValue | F-statistic | R |
| GCMAPlot | GCMA plot | R |
| GCContig | Count 'G', 'C' bases in a set of contigs | C++ |
| GCStats | Count 'G', 'C' bases | C++ |
| GOHeatmap | Produce heatmap using Gene Ontology (Thomas et al, 2022) | R |
| GeneList | Produce list of genes | R |
| GeneTable | Produce table of genes | R |
| GetPatterns | Get patterns over a set of conditions | R |
| Gini | Gini index (Gini, 1912) | R |
| GLMCommonDisp | Estimate GLM common dispersion | R |
| Gnuplot | Plot data using Gnuplot (Williams and Kelley, 2011) | C++ |
| GroupBox | GroupBox plot | R |
| HeatmapPTR | Heatmap for Peak-to-Trough Ratio (PTR) analysis | R |
| HighHit | High and low bacteria hits | Perl |
| Hilbert | Hilbert curve (Hilbert, 1891) | R |
| Histogram | Generate histogram | R |
| HistogramScore | Plot scores as Histogram | R |
| IdentityPlot | Identity plot | R |
| IntersectBed | BED file intersection | C++ |
| JasperBanner | Jasper software banner (Valdes et al, 2020) | Python |
| JointROCC | Joint Receiver Operating Characteristic Curve | Python |
| Kappa | Kappa statistic (Cohen, 1960) | R |
| KDE | KDE plot | Python |
| KronaCount | Count the number of taxa in a Krona file | Python |
| KS | Kolmogorov-Smirnov Test Statistic (Kolmogorov, 1933) | R |
| LabeledBox | Boxplot based on sample classification | Python |
| LiftCurve | Probability thresholds that capture hit percentages | R |
| Likelihood | Compute likelihood | R |
| LinePlot | Line Plot (Nowicka et al, 2016) | R |
| LogFoldScale | Log-fold scale analysis | Python |
| LogModulo | Log-modulo skew (Magurran and McGill, 2011) | R |
| LongestContig | Find the longest contig in a FASTA file | Python |
| MannWhitney | Mann-Whitney Test (Mann and Whitney, 1947) | Python |
| MannWhitneyPValue | P-value for Mann-Whitney Test (Mann and Whitney, 1947) | Python |
| MedianNorm | Median by ratio normalization (Anders et al, 2010) | R |
| MIMOSA | Data fitting through MIMOSA (Finak et al, 2013) | R |
| MIQ | Median InterQuartile (IQ) | Python |
| MULTIQC | Summarize results from multiple bioinformatics toolkits in HTML form (Ewels et al, 2016) (Generated by PluGen) | C++ |
| MV | Plot mean vs. variance | R |
| Mantel | Mantel test (Diniz-Filho et al, 2013) | R |
| OTURecover | Number of OTUs recovered | Python |
| OTUSummary | Summarize OTUs at multiple levels of the phylogenetic tree | C++ |
| Ontology | Ontology summary | Perl |
| PairedPValue | Paired p-value | Python |
| PanChromosome | Panchromosome visualization | Perl |
| PhredBox | Box plot of Phred score | R |
| Phylum | Map taxa to phylum | Python |
| PhylumQiime | List phyla from Qiime input | Python |
| Plot2TX | Plot transcript proportion difference | R |
| PlotCV | Plot co-variance | Python |
| PlotExpression | Plot gene expression levels | R |
| PlotFC | Plot fold change accuracy | R |
| PlotFI | Plot feature importancer | Python |
| PlotFoldChange | Plot fold-change | R |
| PlotGC | GC plot | R |
| PlotHMP | Plotter for HMP data | R |
| PlotNA | NA-distribution plot | R |
| PlotNE | Estimate and plot express and non-express features | R |
| PlotPosterior | Plot posterior density | R |
| PlotROC | Plot Receiver Operating Characteristic Curve | R |
| PlotROCC | Plot Receiver Operating Characteristic Curve (Uses AUC) | Python |
| PlotSD | Estimate and plot medium standard deviation | R |
| PlotTSNE | TSNE plot (van der Maaten, 2008) | Python |
| PlotUnivariate | Plot univariate effects | R |
| Plotly | Plot data using Plotly (Plotly Technologies, Inc.) | R |
| PlotlySorted | Plot sorted data using Plotly (Plotly Technologies, Inc.) | R |
| PlotMarker | Plot marker genes | R |
| PlusMinus | Calculate number of reads on forward and reverse strand | C++ |
| PairPlot | Pair plot | Python |
| PolyFitPlot | Polynomial regression plot | R |
| Posterior | Posterior probability | R |
| PosteriorFold | Posterior Fold Change | R |
| PrecisionRecall | Precision recall curve | R |
| Prior | Estimate prior parameters | R |
| Procrustes | Procrusts analysis (Gower, 1975) | R |
| PValue | Compute P-Value | Python |
| PValuePlot | Plot p-values | R |
| ProportionPlot | Proportion plot | R |
| Qiime2Viz | Qiime 2 Visualizer (Bolyen et al, 2019) (Generated by PluGen) | C++ |
| QualiMap | Generate a QualiMap (Garcia-Alcalde et al, 2012) report | C++ |
| QualityProfile | Sequence quality statistics | R |
| QuantileQuantile | QQ plot | R |
| QuantileScore | Produce quantiles based on set of scores | R |
| RPKM | Reads of kilobase per transcript per million | R |
| RPKMPlot | RPKM plot | R |
| Rare | Rare taxa community statistics | R |
| ReadTracker | Track reads through a pipeline | R |
| RibbonPlot | Ribbon plot | R |
| ROCMultiple | Receiver Operating Characteristic, Multiple (Fawcett, 2006) | R |
| ScatterEllipse | Scatter plot with ellipses | R |
| SAMParser | SAM parser, statistics | Python |
| SAMStats | Miscellaneous SAM statistics | C++ |
| ScatterPair | Scatter plot (pairwise) | R |
| SelectMajorABR | Select antimicrobial resistant taxa | Python |
| SequenceLength | Sequence length | Python |
| SGPlot | Splice graph plot | R |
| SGFPlot | Splice graph feature plot | R |
| Shear | Combined genome shear | Python |
| SingleCellHeatmap | Heatmap of single-cell feature expression | R |
| SNPPlot | Plot SNPs | R |
| Sparsity | Plot sparsity of a dataset | R |
| SpeedTest | Machine upload/download speed | C++ |
| SPloM | Scatter plot matrix | R |
| SquareTest | Square a list of values | Python |
| StackedBar | Stacked bar plot | R |
| StackedBarSelect | Stacked bar plot with targetted genes/species | R |
| Statistics | Take a set of samples and output statistics (mean, standard deviation, etc.) on the most abundant taxa | Python |
| StripPlot | Plot resampling and tuning parameters | R |
| SubsetScore | Return subset of scores | R |
| Summarize | Output a summary of a sample set to the screen | R |
| SumTest | Sum a list of values | Python |
| SurrogateP | Surrogate p-value | R |
| SyntheticAbundance | Generate synthetic abundances | Python |
| TaxaQuery | Query a taxon and obtain statistics | Python |
| TetraESOM | Tetramer frequencies, input to ESOM (Dick, 2009) (Generated by PluGen). | C++ |
| TopCounts | Top counts | R |
| TTestDependent | Run the T-Test on dependent samples | Python |
| TTestIndependent | Run the T-Test on independent data | Python |
| TreeStats | Miscellaneous statistics for a taxonomic tree | Python |
| TrellisScatter | Trellis scatter plot (Trellis, 2017) | R |
| TrellisSmooth | Trellis plot, smooth (Trellis, 2017) | R |
| Unclassified | Number of OTUs unclassified | Python |
| UnclassifiedList | List unclassified OTUs | Python |
| Unique2One | Collect taxa unique to one set | Python |
| UniqueCount | Count of unique sequences | C++ |
| UpSetR | UpsetR (Lex et al, 2019) visualization | R |
| VariableFeaturePlot | Variable feature plot | R |
| Variance | Variance Calculator | Python |
| Venn | Venn Diagram | Python |
| ViolinXY | Violin plot, x-y data | Python |
| Viridis | Viridis heatmap | Python |
| VizDimLoadings | Visualize top genes associated with reduction components | R |
| VlnPlot | Violin feature plot | R |
| WGEval | Whole genome simulator evaluator tool (WGSim, 2011) | Perl |
| WGSim | Whole genome simulator evaluator tool (WGSim, 2011) | C++ |
| ZeroPercent | Percent of control samples with zero abundance (helps with power set) | Python |
| ZScoreScale | Z-score scaling | R |