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    "convertFromBIOM",
    "convertFromDADA2",
    "convertFromPhyloseq",
    "convertToBIOM",
    "convertToPhyloseq",
    "countDominantFeatures",
    "countDominantTaxa",
    "estimateDivergence",
    "estimateDiversity",
    "estimateDominance",
    "estimateEvenness",
    "estimateFaith",
    "estimateRichness",
    "full_join",
    "getAbundanceClass",
    "getAbundant",
    "getAlpha",
    "getBestDMNFit",
    "getCCA",
    "getCluster",
    "getConditionallyLowAbundant",
    "getCrossAssociation",
    "getDissimilarity",
    "getDivergence",
    "getDMN",
    "getDominant",
    "getDPCoA",
    "getExperimentCrossAssociation",
    "getExperimentCrossCorrelation",
    "getHierarchyTree",
    "getJointRPCA",
    "getLDA",
    "getLowAbundant",
    "getMDS",
    "getMediation",
    "getNMDS",
    "getNMF",
    "getPermanentlyLowAbundant",
    "getPERMANOVA",
    "getPrevalence",
    "getPrevalent",
    "getPrevalentAbundance",
    "getPrevalentFeatures",
    "getPrevalentTaxa",
    "getRare",
    "getRareFeatures",
    "getRareTaxa",
    "getRDA",
    "getReducedDimAttribute",
    "getRPCA",
    "getTaxonomyLabels",
    "getTaxonomyRanks",
    "getTop",
    "getTopFeatures",
    "getTopTaxa",
    "getUnique",
    "getUniqueFeatures",
    "getUniqueTaxa",
    "IdTaxaToDataFrame",
    "importBIOM",
    "importHUMAnN",
    "importMetaPhlAn",
    "importMothur",
    "importQIIME2",
    "importQZA",
    "importTaxpasta",
    "inner_join",
    "isContaminant",
    "isNotContaminant",
    "left_join",
    "loadFromBiom",
    "loadFromHumann",
    "loadFromMetaphlan",
    "loadFromMothur",
    "loadFromQIIME2",
    "makePhyloseqFromTreeSE",
    "makePhyloseqFromTreeSummarizedExperiment",
    "makeTreeSEFromBiom",
    "makeTreeSEFromDADA2",
    "makeTreeSEFromPhyloseq",
    "makeTreeSummarizedExperimentFromBiom",
    "makeTreeSummarizedExperimentFromDADA2",
    "makeTreeSummarizedExperimentFromPhyloseq",
    "mapTaxonomy",
    "meltAssay",
    "meltSE",
    "mergeCols",
    "mergeFeatures",
    "mergeFeaturesByPrevalence",
    "mergeFeaturesByRank",
    "mergeRows",
    "mergeSamples",
    "mergeSEs",
    "performDMNgroupCV",
    "perSampleDominantFeatures",
    "perSampleDominantTaxa",
    "plotNMDS",
    "rarefyAssay",
    "readQZA",
    "relabundance",
    "relabundance<-",
    "relAbundanceCounts",
    "right_join",
    "runCCA",
    "runDMN",
    "runDPCoA",
    "runJSD",
    "runNMDS",
    "runOverlap",
    "runRDA",
    "runUnifrac",
    "setTaxonomyRanks",
    "splitByRanks",
    "splitOn",
    "subsampleCounts",
    "subsetByPrevalent",
    "subsetByPrevalentFeatures",
    "subsetByPrevalentTaxa",
    "subsetByRare",
    "subsetByRareFeatures",
    "subsetByRareTaxa",
    "subsetFeatures",
    "subsetSamples",
    "subsetTaxa",
    "summarizeDominance",
    "summary",
    "taxonomyRankEmpty",
    "taxonomyRanks",
    "taxonomyTree",
    "testExperimentCrossAssociation",
    "testExperimentCrossCorrelation",
    "transformAssay",
    "transformCounts",
    "transformFeatures",
    "transformSamples",
    "unsplitByRanks",
    "unsplitOn",
    "ZTransform"
  ],
  "_datasets": [
    {
      "name": "dmn_se",
      "title": "Twins' microbiome data from 278 individuals",
      "object": "dmn_se",
      "file": "dmn_se.rda",
      "class": [
        "SummarizedExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "enterotype",
      "title": "Human gut microbiome dataset from 22 subjects based on shotgun DNA sequencing",
      "object": "enterotype",
      "file": "enterotype.rda",
      "class": [
        "TreeSummarizedExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "esophagus",
      "title": "Human esophageal community from 3 individuals",
      "object": "esophagus",
      "file": "esophagus.rda",
      "class": [
        "TreeSummarizedExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "GlobalPatterns",
      "title": "Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.",
      "object": "GlobalPatterns",
      "file": "GlobalPatterns.rda",
      "class": [
        "TreeSummarizedExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "HintikkaXOData",
      "title": "Multiomics dataset from 40 rat samples",
      "object": "HintikkaXOData",
      "file": "HintikkaXOData.rda",
      "class": [
        "MultiAssayExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "ibdmdb",
      "title": "IBDMDB 2-omic demo dataset (MGX + MTX)",
      "object": "ibdmdb",
      "file": "ibdmdb.rda",
      "class": [
        "MultiAssayExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "peerj13075",
      "title": "Skin microbial profiles 58 genetically unrelated individuals",
      "object": "peerj13075",
      "file": "peerj13075.rda",
      "class": [
        "TreeSummarizedExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "Tengeler2020",
      "title": "Gut microbiota profiles of 27 individuals with ADHD and healthy controls",
      "object": "Tengeler2020",
      "file": "Tengeler2020.rda",
      "class": [
        "TreeSummarizedExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "Tito2024QMP",
      "title": "Fecal microbiota samples from 589 patients across different colorectal cancer stages",
      "object": "Tito2024QMP",
      "file": "Tito2024QMP.rda",
      "class": [
        "TreeSummarizedExperiment"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "mia-package",
      "title": "'mia' Package.",
      "topics": [
        "mia-package",
        "mia"
      ]
    },
    {
      "page": "addAlpha",
      "title": "Estimate alpha diversity indices",
      "topics": [
        "addAlpha",
        "addAlpha,SummarizedExperiment-method",
        "getAlpha",
        "getAlpha,SummarizedExperiment-method"
      ]
    },
    {
      "page": "isContaminant",
      "title": "decontam functions",
      "topics": [
        "addContaminantQC",
        "addContaminantQC,SummarizedExperiment-method",
        "addNotContaminantQC",
        "addNotContaminantQC,SummarizedExperiment-method",
        "isContaminant",
        "isContaminant,SummarizedExperiment-method",
        "isNotContaminant,SummarizedExperiment-method"
      ]
    },
    {
      "page": "getDissimilarity",
      "title": "Calculate dissimilarities",
      "topics": [
        "addDissimilarity",
        "addDissimilarity,SummarizedExperiment-method",
        "getDissimilarity",
        "getDissimilarity,ANY-method",
        "getDissimilarity,SummarizedExperiment-method",
        "getDissimilarity,TreeSummarizedExperiment-method"
      ]
    },
    {
      "page": "addDivergence",
      "title": "Estimate divergence",
      "topics": [
        "addDivergence",
        "addDivergence,SummarizedExperiment-method",
        "getDivergence",
        "getDivergence,SummarizedExperiment-method"
      ]
    },
    {
      "page": "getMediation",
      "title": "Perform mediation analysis",
      "topics": [
        "addMediation",
        "addMediation,SummarizedExperiment-method",
        "getMediation",
        "getMediation,SummarizedExperiment-method"
      ]
    },
    {
      "page": "agglomerateByPrevalence",
      "title": "Agglomerate data based on population prevalence",
      "topics": [
        "agglomerateByPrevalence",
        "agglomerateByPrevalence,SummarizedExperiment-method",
        "agglomerateByPrevalence,TreeSummarizedExperiment-method"
      ]
    },
    {
      "page": "agglomerate-methods",
      "title": "Agglomerate data using taxonomic information or other grouping",
      "topics": [
        "agglomerate-methods",
        "agglomerateByModule",
        "agglomerateByModule,SummarizedExperiment-method",
        "agglomerateByRank",
        "agglomerateByRank,SingleCellExperiment-method",
        "agglomerateByRank,SummarizedExperiment-method",
        "agglomerateByRank,TreeSummarizedExperiment-method",
        "agglomerateByRanks",
        "agglomerateByRanks,SingleCellExperiment-method",
        "agglomerateByRanks,SummarizedExperiment-method",
        "agglomerateByRanks,TreeSummarizedExperiment-method",
        "agglomerateByVariable",
        "agglomerateByVariable,SummarizedExperiment-method",
        "agglomerateByVariable,TreeSummarizedExperiment-method",
        "splitByRanks",
        "unsplitByRanks",
        "unsplitByRanks,SingleCellExperiment-method",
        "unsplitByRanks,TreeSummarizedExperiment-method"
      ]
    },
    {
      "page": "calculateDMN",
      "title": "Dirichlet-Multinomial Mixture Model: Machine Learning for Microbiome Data",
      "topics": [
        "bestDMNFit",
        "bestDMNFit,SummarizedExperiment-method",
        "calculateDMN",
        "calculateDMN,ANY-method",
        "calculateDMN,SummarizedExperiment-method",
        "calculateDMNgroup",
        "calculateDMNgroup,ANY-method",
        "calculateDMNgroup,SummarizedExperiment-method",
        "getBestDMNFit",
        "getBestDMNFit,SummarizedExperiment-method",
        "getDMN",
        "getDMN,SummarizedExperiment-method",
        "performDMNgroupCV",
        "performDMNgroupCV,ANY-method",
        "performDMNgroupCV,SummarizedExperiment-method",
        "runDMN"
      ]
    },
    {
      "page": "convertFromDADA2",
      "title": "Create a 'TreeSummarizedExperiment' object from 'DADA2' results",
      "topics": [
        "convertFromDADA2"
      ]
    },
    {
      "page": "importBIOM",
      "title": "Convert a 'TreeSummarizedExperiment' object to/from 'BIOM' results",
      "topics": [
        "convertFromBIOM",
        "convertToBIOM",
        "convertToBIOM,SummarizedExperiment-method",
        "importBIOM"
      ]
    },
    {
      "page": "convertFromPhyloseq",
      "title": "Create a 'TreeSummarizedExperiment' object from a phyloseq object",
      "topics": [
        "convertFromPhyloseq",
        "convertToPhyloseq",
        "convertToPhyloseq,SummarizedExperiment-method",
        "convertToPhyloseq,TreeSummarizedExperiment-method"
      ]
    },
    {
      "page": "deprecate",
      "title": "These functions will be deprecated. Please use other functions instead.",
      "topics": [
        "addPerSampleDominantFeatures",
        "addPerSampleDominantFeatures,SummarizedExperiment-method",
        "addPerSampleDominantTaxa",
        "addPerSampleDominantTaxa,SummarizedExperiment-method",
        "addTaxonomyTree",
        "addTaxonomyTree,SummarizedExperiment-method",
        "calculateJSD",
        "calculateJSD,ANY-method",
        "calculateOverlap",
        "calculateOverlap,ANY-method",
        "calculateUnifrac",
        "calculateUnifrac,ANY-method",
        "cluster",
        "cluster,SummarizedExperiment-method",
        "countDominantFeatures",
        "countDominantFeatures,SummarizedExperiment-method",
        "countDominantTaxa",
        "countDominantTaxa,SummarizedExperiment-method",
        "deprecate",
        "estimateDivergence",
        "estimateDivergence,SummarizedExperiment-method",
        "estimateDiversity",
        "estimateDiversity,ANY-method",
        "estimateDominance",
        "estimateDominance,ANY-method",
        "estimateEvenness",
        "estimateEvenness,ANY-method",
        "estimateFaith",
        "estimateFaith,ANY-method",
        "estimateRichness",
        "estimateRichness,ANY-method",
        "full_join",
        "full_join,ANY-method",
        "getExperimentCrossAssociation",
        "getExperimentCrossAssociation,MultiAssayExperiment-method",
        "getExperimentCrossAssociation,SummarizedExperiment-method",
        "getExperimentCrossCorrelation",
        "getExperimentCrossCorrelation,ANY-method",
        "getPrevalentFeatures",
        "getPrevalentFeatures,ANY-method",
        "getPrevalentFeatures,SummarizedExperiment-method",
        "getPrevalentTaxa",
        "getPrevalentTaxa,ANY-method",
        "getPrevalentTaxa,SummarizedExperiment-method",
        "getRareFeatures",
        "getRareFeatures,ANY-method",
        "getRareFeatures,SummarizedExperiment-method",
        "getRareTaxa",
        "getRareTaxa,ANY-method",
        "getRareTaxa,SummarizedExperiment-method",
        "getTopFeatures",
        "getTopFeatures,SummarizedExperiment-method",
        "getTopTaxa",
        "getTopTaxa,SummarizedExperiment-method",
        "getUniqueFeatures",
        "getUniqueFeatures,SummarizedExperiment-method",
        "getUniqueTaxa",
        "getUniqueTaxa,SummarizedExperiment-method",
        "inner_join",
        "inner_join,ANY-method",
        "left_join",
        "left_join,ANY-method",
        "loadFromBiom",
        "loadFromHumann",
        "loadFromMetaphlan",
        "loadFromMothur",
        "loadFromQIIME2",
        "makePhyloseqFromTreeSE",
        "makePhyloseqFromTreeSE,SummarizedExperiment-method",
        "makePhyloseqFromTreeSE,TreeSummarizedExperiment-method",
        "makePhyloseqFromTreeSummarizedExperiment",
        "makePhyloseqFromTreeSummarizedExperiment,ANY-method",
        "makeTreeSEFromBiom",
        "makeTreeSEFromDADA2",
        "makeTreeSEFromPhyloseq",
        "makeTreeSummarizedExperimentFromBiom",
        "makeTreeSummarizedExperimentFromDADA2",
        "makeTreeSummarizedExperimentFromPhyloseq",
        "makeTreeSummarizedExperimentFromPhyloseq,ANY-method",
        "meltAssay",
        "meltAssay,SummarizedExperiment-method",
        "mergeCols",
        "mergeCols,SummarizedExperiment-method",
        "mergeCols,TreeSummarizedExperiment-method",
        "mergeFeatures",
        "mergeFeatures,SummarizedExperiment-method",
        "mergeFeatures,TreeSummarizedExperiment-method",
        "mergeFeaturesByPrevalence",
        "mergeFeaturesByPrevalence,SummarizedExperiment-method",
        "mergeFeaturesByRank",
        "mergeFeaturesByRank,SingleCellExperiment-method",
        "mergeFeaturesByRank,SummarizedExperiment-method",
        "mergeFeaturesByRank,TreeSummarizedExperiment-method",
        "mergeRows",
        "mergeRows,SummarizedExperiment-method",
        "mergeRows,TreeSummarizedExperiment-method",
        "mergeSamples",
        "mergeSamples,SummarizedExperiment-method",
        "mergeSamples,TreeSummarizedExperiment-method",
        "perSampleDominantFeatures",
        "perSampleDominantFeatures,SummarizedExperiment-method",
        "perSampleDominantTaxa",
        "perSampleDominantTaxa,SummarizedExperiment-method",
        "plotNMDS",
        "readQZA",
        "relabundance",
        "relabundance,SummarizedExperiment-method",
        "relabundance<-",
        "relabundance<-,SummarizedExperiment-method",
        "relAbundanceCounts",
        "relAbundanceCounts,SummarizedExperiment-method",
        "right_join",
        "right_join,ANY-method",
        "runJSD",
        "runJSD,SummarizedExperiment-method",
        "runOverlap",
        "runOverlap,SummarizedExperiment-method",
        "runUnifrac",
        "subsampleCounts",
        "subsampleCounts,SummarizedExperiment-method",
        "subsetByPrevalentFeatures",
        "subsetByPrevalentFeatures,ANY-method",
        "subsetByPrevalentTaxa",
        "subsetByPrevalentTaxa,ANY-method",
        "subsetByRareFeatures",
        "subsetByRareFeatures,ANY-method",
        "subsetByRareTaxa",
        "subsetByRareTaxa,ANY-method",
        "subsetFeatures",
        "subsetFeatures,SummarizedExperiment-method",
        "subsetSamples",
        "subsetSamples,SummarizedExperiment-method",
        "subsetTaxa",
        "subsetTaxa,SummarizedExperiment-method",
        "taxonomyTree",
        "taxonomyTree,SummarizedExperiment-method",
        "testExperimentCrossAssociation",
        "testExperimentCrossAssociation,ANY-method",
        "testExperimentCrossCorrelation",
        "testExperimentCrossCorrelation,ANY-method",
        "transformCounts",
        "transformFeatures",
        "transformFeatures,SummarizedExperiment-method",
        "transformSamples",
        "transformSamples,SummarizedExperiment-method",
        "ZTransform",
        "ZTransform,SummarizedExperiment-method"
      ]
    },
    {
      "page": "dmn_se",
      "title": "Twins' microbiome data from 278 individuals",
      "topics": [
        "dmn_se",
        "twins"
      ]
    },
    {
      "page": "enterotype",
      "title": "Human gut microbiome dataset from 22 subjects based on shotgun DNA sequencing",
      "topics": [
        "enterotype"
      ]
    },
    {
      "page": "esophagus",
      "title": "Human esophageal community from 3 individuals",
      "topics": [
        "esophagus"
      ]
    },
    {
      "page": "getAbundant",
      "title": "Determine abundant and rare taxa. Rare taxa can be further classified to conditionally rare and permanently rare.",
      "topics": [
        "addAbundanceClass",
        "addAbundanceClass,SingleCellExperiment-method",
        "addAbundanceClass,SummarizedExperiment-method",
        "getAbundanceClass",
        "getAbundanceClass,ANY-method",
        "getAbundanceClass,SingleCellExperiment-method",
        "getAbundanceClass,SummarizedExperiment-method",
        "getAbundant",
        "getAbundant,ANY-method",
        "getAbundant,SingleCellExperiment-method",
        "getAbundant,SummarizedExperiment-method",
        "getConditionallyLowAbundant",
        "getConditionallyLowAbundant,ANY-method",
        "getConditionallyLowAbundant,SingleCellExperiment-method",
        "getConditionallyLowAbundant,SummarizedExperiment-method",
        "getLowAbundant",
        "getLowAbundant,ANY-method",
        "getLowAbundant,SingleCellExperiment-method",
        "getLowAbundant,SummarizedExperiment-method",
        "getPermanentlyLowAbundant",
        "getPermanentlyLowAbundant,ANY-method",
        "getPermanentlyLowAbundant,SingleCellExperiment-method",
        "getPermanentlyLowAbundant,SummarizedExperiment-method"
      ]
    },
    {
      "page": "runCCA",
      "title": "Canonical Correspondence Analysis and Redundancy Analysis",
      "topics": [
        "addCCA",
        "addCCA,SingleCellExperiment-method",
        "addRDA",
        "addRDA,SingleCellExperiment-method",
        "calculateCCA",
        "calculateRDA",
        "getCCA",
        "getCCA,ANY-method",
        "getCCA,SummarizedExperiment-method",
        "getRDA",
        "getRDA,ANY-method",
        "getRDA,SummarizedExperiment-method",
        "runCCA",
        "runRDA"
      ]
    },
    {
      "page": "addCluster",
      "title": "Clustering wrapper",
      "topics": [
        "addCluster",
        "addCluster,SingleCellExperiment-method",
        "addCluster,SummarizedExperiment-method",
        "getCluster",
        "getCluster,ANY-method",
        "getCluster,SingleCellExperiment-method",
        "getCluster,SummarizedExperiment-method"
      ]
    },
    {
      "page": "getCrossAssociation",
      "title": "Calculate correlations between features of two experiments.",
      "topics": [
        "getCrossAssociation",
        "getCrossAssociation,MultiAssayExperiment-method",
        "getCrossAssociation,SummarizedExperiment-method"
      ]
    },
    {
      "page": "getDominant",
      "title": "Get dominant taxa",
      "topics": [
        "addDominant",
        "addDominant,SummarizedExperiment-method",
        "getDominant",
        "getDominant,SummarizedExperiment-method"
      ]
    },
    {
      "page": "runDPCoA",
      "title": "Calculation of Double Principal Correspondence analysis",
      "topics": [
        "addDPCoA",
        "calculateDPCoA",
        "getDPCoA",
        "getDPCoA,ANY,ANY-method",
        "getDPCoA,TreeSummarizedExperiment,missing-method",
        "runDPCoA"
      ]
    },
    {
      "page": "hierarchy-tree",
      "title": "Calculate hierarchy tree",
      "topics": [
        "addHierarchyTree",
        "addHierarchyTree,SummarizedExperiment-method",
        "getHierarchyTree",
        "getHierarchyTree,SummarizedExperiment-method",
        "hierarchy-tree"
      ]
    },
    {
      "page": "addLDA",
      "title": "Latent Dirichlet Allocation",
      "topics": [
        "addLDA",
        "addLDA,SummarizedExperiment-method",
        "getLDA",
        "getLDA,SummarizedExperiment-method"
      ]
    },
    {
      "page": "addMDS",
      "title": "Perform multi-dimensional scaling (MDS)",
      "topics": [
        "addMDS",
        "addMDS,SingleCellExperiment-method",
        "getMDS",
        "getMDS,SingleCellExperiment-method",
        "getMDS,TreeSummarizedExperiment-method"
      ]
    },
    {
      "page": "runNMDS",
      "title": "Perform non-metric MDS on sample-level data",
      "topics": [
        "addNMDS",
        "calculateNMDS",
        "getNMDS",
        "getNMDS,ANY-method",
        "getNMDS,SingleCellExperiment-method",
        "getNMDS,SummarizedExperiment-method",
        "runNMDS"
      ]
    },
    {
      "page": "addNMF",
      "title": "Non-negative Matrix Factorization",
      "topics": [
        "addNMF",
        "addNMF,SummarizedExperiment-method",
        "getNMF",
        "getNMF,SummarizedExperiment-method"
      ]
    },
    {
      "page": "getPERMANOVA",
      "title": "Calculate PERMANOVA (Permutational Multivariate Analysis of Variance)",
      "topics": [
        "addPERMANOVA",
        "addPERMANOVA,SummarizedExperiment-method",
        "getPERMANOVA",
        "getPERMANOVA,ANY-method",
        "getPERMANOVA,SingleCellExperiment-method",
        "getPERMANOVA,SummarizedExperiment-method"
      ]
    },
    {
      "page": "getPrevalence",
      "title": "Calculation prevalence information for features across samples",
      "topics": [
        "addPrevalence",
        "addPrevalence,SummarizedExperiment-method",
        "addPrevalentAbundance",
        "addPrevalentAbundance,SummarizedExperiment-method",
        "getPrevalence",
        "getPrevalence,ANY-method",
        "getPrevalence,SummarizedExperiment-method",
        "getPrevalent",
        "getPrevalent,ANY-method",
        "getPrevalent,SummarizedExperiment-method",
        "getPrevalentAbundance",
        "getPrevalentAbundance,ANY-method",
        "getPrevalentAbundance,SummarizedExperiment-method",
        "getRare",
        "getRare,ANY-method",
        "getRare,SummarizedExperiment-method",
        "subsetByPrevalent",
        "subsetByPrevalent,SummarizedExperiment-method",
        "subsetByPrevalent,TreeSummarizedExperiment-method",
        "subsetByRare",
        "subsetByRare,SummarizedExperiment-method",
        "subsetByRare,TreeSummarizedExperiment-method"
      ]
    },
    {
      "page": "utilization_functions",
      "title": "Utilization functions for 'TreeSummarizedExperiment' objects",
      "topics": [
        "getReducedDimAttribute",
        "getReducedDimAttribute,SingleCellExperiment-method",
        "utilization_functions"
      ]
    },
    {
      "page": "getRPCA",
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      "title": "mia: Microbiome analysis tools",
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        "Installation",
        "Load mia",
        "Loading a TreeSummarizedExperiment object",
        "Functions for working with microbiome data",
        "Merging and agglomeration based on taxonomic information.",
        "Constructing a tree from taxonomic data",
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