Package: MWASTools 1.31.0

Andrea Rodriguez-Martinez

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:Andrea Rodriguez-Martinez, Joram M. Posma, Rafael Ayala, Ana L. Neves, Maryam Anwar, Jeremy K. Nicholson, Marc-Emmanuel Dumas

MWASTools_1.31.0.tar.gz
MWASTools_1.31.0.zip(r-4.5)MWASTools_1.31.0.zip(r-4.4)MWASTools_1.31.0.zip(r-4.3)
MWASTools_1.31.0.tgz(r-4.5-any)MWASTools_1.31.0.tgz(r-4.4-any)MWASTools_1.31.0.tgz(r-4.3-any)
MWASTools_1.31.0.tar.gz(r-4.5-noble)MWASTools_1.31.0.tar.gz(r-4.4-noble)
MWASTools_1.31.0.tgz(r-4.4-emscripten)MWASTools_1.31.0.tgz(r-4.3-emscripten)
MWASTools.pdf |MWASTools.html✨
MWASTools/json (API)
NEWS

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

On BioConductor:MWASTools-1.31.0(bioc 3.21)MWASTools-1.30.0(bioc 3.20)

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

metabolomicslipidomicscheminformaticssystemsbiologyqualitycontrol

3.78 score 1 packages 5 scripts 342 downloads 1 mentions 23 exports 115 dependencies

Last updated 4 months agofrom:f47f1f8143. Checks:1 OK, 6 NOTE, 1 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winNOTEJan 28 2025
R-4.5-macWARNINGJan 28 2025
R-4.5-linuxNOTEJan 28 2025
R-4.4-winNOTEJan 28 2025
R-4.4-macNOTEJan 28 2025
R-4.3-winNOTEJan 28 2025
R-4.3-macNOTEJan 28 2025

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:abindaskpassbackportsBiobaseBiocGenericsBiostringsbitopsbootbroomcarcarDatacirclizecliclueclustercodetoolscolorspaceComplexHeatmapcowplotcpp11crayoncurlDelayedArrayDerivdigestdoBydoParalleldplyrfansifarverforeachFormulagenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesGetoptLongggplot2glm2GlobalOptionsgluegraphgridExtragtablehttrigraphIRangesisobanditeratorsjsonliteKEGGgraphKEGGRESTlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplyrpngppcorpurrrquantregqvalueR6rbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasreshape2RgraphvizrjsonrlangS4ArraysS4VectorsscalesshapeSparseArraySparseMstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrXMLXVector

MWASTools

Rendered fromMWASTools.Rmdusingknitr::rmarkdownon Jan 28 2025.

Last update: 2018-09-06
Started: 2016-11-28