Package: MWASTools 1.37.0
MWASTools: MWASTools: an integrated pipeline to perform metabolome-wide association studies
MWASTools provides a complete pipeline to perform metabolome-wide association studies. Key functionalities of the package include: quality control analysis of metabonomic data; MWAS using different association models (partial correlations; generalized linear models); model validation using non-parametric bootstrapping; visualization of MWAS results; NMR metabolite identification using STOCSY; and biological interpretation of MWAS results.
Authors:
MWASTools_1.37.0.tar.gz
MWASTools_1.37.0.zip(r-4.7)MWASTools_1.37.0.zip(r-4.6)MWASTools_1.37.0.zip(r-4.5)
MWASTools_1.37.0.tgz(r-4.6-any)MWASTools_1.37.0.tgz(r-4.5-any)
MWASTools_1.37.0.tar.gz(r-4.7-any)MWASTools_1.37.0.tar.gz(r-4.6-any)
MWASTools_1.37.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MWASTools/json (API)
NEWS
| # Install 'MWASTools' in R: |
| install.packages('MWASTools', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- KEGG_metabolic_paths - KEGG human metabolic pathways
- metabo_SE - NMR plasma metabolic profiles dataset
- MS_data - Simulated LC-MS features
- targetMetabo_SE - Target NMR metabolites dataset
On BioConductor:MWASTools-1.37.0(bioc 3.24)MWASTools-1.36.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
metabolomicslipidomicscheminformaticssystemsbiologyqualitycontrol
Last updated from:a673364d20. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 357 | ||
| linux-devel-x86_64 | NOTE | 317 | ||
| source / vignettes | OK | 298 | ||
| linux-release-x86_64 | NOTE | 362 | ||
| macos-release-arm64 | NOTE | 216 | ||
| macos-oldrel-arm64 | NOTE | 170 | ||
| windows-devel | NOTE | 327 | ||
| windows-release | NOTE | 309 | ||
| windows-oldrel | NOTE | 265 | ||
| wasm-release | OK | 150 |
Exports:CV_filterJBA_binningJBA_corDistributionJBA_plotBinsMWAS_barplotMWAS_bootstrappingMWAS_filterMWAS_heatmapMWAS_KEGG_networkMWAS_KEGG_pathwaysMWAS_KEGG_shortestpathsMWAS_networkMWAS_scatterplotMSMWAS_skylineNMRMWAS_statsMWAS_SummarizedExperimentplot_spectraNMRQC_CVQC_CV_scatterplotQC_CV_specNMRQC_PCAQC_PCA_scoreplotSTOCSY_NMR
Dependencies:abindaskpassbackportsBiobaseBiocGenericsBiostringsbitopsbootbroomcarcarDatacirclizecliclueclustercodetoolscolorspaceComplexHeatmapcowplotcpp11crayoncurlDelayedArrayDerivdigestdoBydoParalleldplyrfarverforeachforecastFormulafracdiffgenericsGenomicRangesGetoptLongggplot2glm2GlobalOptionsgluegraphgridExtragtablehttrigraphIRangesisobanditeratorsjsonliteKEGGgraphKEGGRESTlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmgcvmicrobenchmarkmimeminqamodelrnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplyrpngppcorpurrrquantregqvalueR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRCurlRdpackreformulasreshape2RgraphvizrjsonrlangS4ArraysS4VectorsS7scalesSeqinfoshapeSparseArraySparseMstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrXMLXVectorzoo
