Package: miaViz 1.13.2

Tuomas Borman

miaViz: Microbiome Analysis Plotting and Visualization

The miaViz package implements functions to visualize TreeSummarizedExperiment objects especially in the context of microbiome analysis. Part of the mia family of R/Bioconductor packages.

Authors:Tuomas Borman [aut, cre], Felix G.M. Ernst [aut], Leo Lahti [aut], Basil Courbayre [ctb], Giulio Benedetti [ctb]

miaViz_1.13.2.tar.gz
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miaViz.pdf |miaViz.html
miaViz/json (API)
NEWS

# Install 'miaViz' in R:
install.packages('miaViz', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:miaViz-1.13.0(bioc 3.20)miaViz-1.12.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

21 exports 2.05 score 145 dependencies

Last updated 1 months agofrom:a1378068f8

Exports:colTreeDatacolTreeData<-combineTreeDataplotAbundanceplotAbundanceDensityplotCCAplotColGraphplotColTileplotColTreeplotDMNFitplotFeaturePrevalenceplotPrevalenceplotPrevalentAbundanceplotRDAplotRowGraphplotRowTileplotRowTreeplotSeriesplotTaxaPrevalencerowTreeDatarowTreeData<-

Dependencies:abindapeaplotaskpassbeachmatbeeswarmBHBiobaseBiocBaseUtilsBiocGenericsBiocNeighborsBiocParallelBiocSingularBiostringsblustercachemCairocliclustercodetoolscolorspacecpp11crayoncurlDBIDECIPHERdecontamDelayedArrayDelayedMatrixStatsdigestDirichletMultinomialdplyrdqrngfansifarverfastmapFNNformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggbeeswarmggforceggfunggnewscaleggplot2ggplotifyggraphggrastrggrepelggtreegluegraphlayoutsgridExtragridGraphicsgtablehttrigraphIRangesirlbaisobandjsonlitelabelinglambda.rlatticelazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmiamimeMultiAssayExperimentmunsellnlmeopensslpatchworkpermutepheatmappillarpkgconfigplyrpngpolyclippurrrR6raggRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppMLRcppProgressreshape2rlangRSpectrarsvdRtsneS4ArraysS4VectorsScaledMatrixscalesscaterscuttleSingleCellExperimentsitmosnowSparseArraysparseMatrixStatsstringistringrSummarizedExperimentsyssystemfontstextshapingtibbletidygraphtidyrtidyselecttidytreetreeioTreeSummarizedExperimenttweenrUCSC.utilsutf8uwotvctrsveganviporviridisviridisLitewithrXVectoryulab.utilszlibbioc

miaViz

Rendered frommiaViz.Rmdusingknitr::rmarkdownon Jun 21 2024.

Last update: 2024-04-17
Started: 2020-11-03

Readme and manuals

Help Manual

Help pageTopics
miaViz - Microbiome Analysis Plotting and VisualizationmiaViz-package miaViz
miaViz example datacol_graph mia-datasets row_graph row_graph_order
Additional arguments for plottingmia-plot-args
Plotting abundance dataplotAbundance plotAbundance,SummarizedExperiment-method
Plot abundance densityplotAbundanceDensity plotAbundanceDensity,SummarizedExperiment-method
Plot RDA or CCA objectplotCCA plotCCA,matrix-method plotCCA,SingleCellExperiment-method plotRDA plotRDA,matrix-method plotRDA,SingleCellExperiment-method
Plot factor data as tilesplotColTile plotColTile,SummarizedExperiment-method plotRowTile plotRowTile,SummarizedExperiment-method
Plotting Dirichlet-Multinomial Mixture Model dataplotDMN plotDMNFit plotDMNFit,SummarizedExperiment-method
Plotting igraph objects with information from a 'SummarizedExperiment'plotColGraph plotColGraph,ANY,SummarizedExperiment-method plotColGraph,SummarizedExperiment,missing-method plotGraph plotRowGraph plotRowGraph,ANY,SummarizedExperiment-method plotRowGraph,SummarizedExperiment,missing-method
Plot prevalence informationplotFeaturePrevalence plotFeaturePrevalence,SummarizedExperiment-method plotPrevalence plotPrevalence,SummarizedExperiment-method plotPrevalentAbundance plotPrevalentAbundance,SummarizedExperiment-method plotTaxaPrevalence plotTaxaPrevalence,ANY-method
Plot SeriesplotSeries plotSeries,SummarizedExperiment-method
Plotting tree information enriched with informationplotColTree plotColTree,TreeSummarizedExperiment-method plotRowTree plotRowTree,TreeSummarizedExperiment-method plotTree
Adding information to tree data in 'TreeSummarizedExperiment'colTreeData colTreeData,TreeSummarizedExperiment-method colTreeData<- colTreeData<-,TreeSummarizedExperiment-method combineTreeData combineTreeData,phylo-method combineTreeData,treedata-method rowTreeData rowTreeData,TreeSummarizedExperiment-method rowTreeData<- rowTreeData<-,TreeSummarizedExperiment-method treeData