Package: omicplotR 1.25.0

Daniel Giguere

omicplotR: Visual Exploration of Omic Datasets Using a Shiny App

A Shiny app for visual exploration of omic datasets as compositions, and differential abundance analysis using ALDEx2. Useful for exploring RNA-seq, meta-RNA-seq, 16s rRNA gene sequencing with visualizations such as principal component analysis biplots (coloured using metadata for visualizing each variable), dendrograms and stacked bar plots, and effect plots (ALDEx2). Input is a table of counts and metadata file (if metadata exists), with options to filter data by count or by metadata to remove low counts, or to visualize select samples according to selected metadata.

Authors:Daniel Giguere [aut, cre], Jean Macklaim [aut], Greg Gloor [aut]

omicplotR_1.25.0.tar.gz
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omicplotR_1.25.0.tgz(r-4.4-any)omicplotR_1.25.0.tgz(r-4.3-any)
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omicplotR.pdf |omicplotR.html
omicplotR/json (API)
NEWS

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

Peer review:

Datasets:
  • metadata - Vaginal microbiome OTU table metadata
  • otu_table - Vaginal microbiome OTU table

On BioConductor:omicplotR-1.25.0(bioc 3.20)omicplotR-1.24.0(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

11 exports 0.61 score 105 dependencies 1 mentions

Last updated 2 months agofrom:013a9225d5

Exports:omicplotr.anosimomicplotr.clromicplotr.colouredPCAomicplotr.colvecomicplotr.filteromicplotr.getRemovedFeaturesomicplotr.getRemovedSamplesomicplotr.metadataFilteromicplotr.permanovaomicplotr.reportomicplotr.run

Dependencies:abindALDEx2askpassbase64encbayesmBHBiobaseBiocGenericsBiocParallelbslibcachemcliclustercodetoolscommonmarkcompositionscpp11crayoncrosstalkcurlDelayedArraydeldirDEoptimRdigestdirectlabelsDTevaluatefastmapfontawesomeformatRfsfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehighrhtmltoolshtmlwidgetshttpuvhttrinterpIRangesjpegjquerylibjsonliteknitrlambda.rlaterlatticelatticeExtralazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemulttestNADAnlmeopensslpermutepngpromisesquadprogR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRcppZigguratRfastrlangrmarkdownrobustbaseS4ArraysS4VectorssassshinysnowsourcetoolsSparseArraySummarizedExperimentsurvivalsystensorAtinytextruncnormUCSC.utilsveganwithrxfunxtableXVectoryamlzCompositionszlibbioc

omicplotR: A tool for visualizing omic datasets as compositions

Rendered fromomicplotR.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2018-06-21
Started: 2017-11-24

Readme and manuals

Help Manual

Help pageTopics
'omicplotR'omicplotR-package omicplotR
Internal omicplotR functions.omicplotr.anosim omicplotr.clr omicplotr.colouredPCA omicplotr.colvec omicplotr.filter omicplotr.getRemovedFeatures omicplotr.getRemovedSamples omicplotr.metadataFilter omicplotr.permanova omicplotr.report
Vaginal microbiome OTU table metadatametadata
Run 'omicplotR' 'Shiny' app.omicplotr.run
Vaginal microbiome OTU tableotu_table