Package: MSstatsQC 2.25.0

Eralp Dogu

MSstatsQC: Longitudinal system suitability monitoring and quality control for proteomic experiments

MSstatsQC is an R package which provides longitudinal system suitability monitoring and quality control tools for proteomic experiments.

Authors:Eralp Dogu [aut, cre], Sara Taheri [aut], Olga Vitek [aut]

MSstatsQC_2.25.0.tar.gz
MSstatsQC_2.25.0.zip(r-4.5)MSstatsQC_2.25.0.zip(r-4.4)MSstatsQC_2.25.0.zip(r-4.3)
MSstatsQC_2.25.0.tgz(r-4.4-any)MSstatsQC_2.25.0.tgz(r-4.3-any)
MSstatsQC_2.25.0.tar.gz(r-4.5-noble)MSstatsQC_2.25.0.tar.gz(r-4.4-noble)
MSstatsQC_2.25.0.tgz(r-4.4-emscripten)MSstatsQC_2.25.0.tgz(r-4.3-emscripten)
MSstatsQC.pdf |MSstatsQC.html✨
MSstatsQC/json (API)
NEWS

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

Peer review:

Datasets:
  • QCloudDDA - DDA QC data from QCloud System
  • QCloudSRM - SRM QC data from QCloud System
  • QuiCDIA - DIA iRT data from QuiC System
  • S9Site54 - CPTAC study 9.1 site 54 dataset

On BioConductor:MSstatsQC-2.25.0(bioc 3.21)MSstatsQC-2.24.0(bioc 3.20)

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

softwarequalitycontrolproteomicsmassspectrometry

4.48 score 1 packages 7 scripts 199 downloads 1 mentions 10 exports 138 dependencies

Last updated 2 months agofrom:0ea25be98c. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-winNOTEDec 04 2024
R-4.5-linuxNOTEDec 04 2024
R-4.4-winNOTEDec 04 2024
R-4.4-macNOTEDec 04 2024
R-4.3-winNOTEDec 04 2024
R-4.3-macNOTEDec 04 2024

Exports:ChangePointEstimatorCUSUMChartDataProcessDecisionMapMissingDataMapMSnbaseToMSstatsQCRadarPlotRemoveMissingRiverPlotXmRChart

Dependencies:abindaffyaffyioAnnotationFilteraskpassbase64encBHBiobaseBiocBaseUtilsBiocGenericsBiocManagerBiocParallelbslibcachemcliclueclustercodetoolscolorspacecolourpickercommonmarkcpp11crayoncrosstalkcurldata.tableDelayedArraydigestdoParalleldplyrevaluatefansifarverfastmapfontawesomeforeachformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggExtraggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrigraphimputeIRangesisobanditeratorsjquerylibjsonliteknitrlabelinglambda.rlaterlatticelazyevallifecyclelimmamagrittrMALDIquantMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeminiUIMsCoreUtilsMSnbaseMultiAssayExperimentmunsellmzIDmzRncdf4nlmeopensslpanderpcaMethodspillarpkgconfigplotlyplyrpreprocessCorepromisesProtGenericsPSMatchpurrrqcmetricsQFeaturesR6rappdirsRColorBrewerRcppreshape2Rhdf5librlangrmarkdownS4ArraysS4VectorssassscalesshinyshinyjssnowsourcetoolsSparseArraystatmodstringistringrSummarizedExperimentsystibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisLitevsnwithrxfunXMLxtableXVectoryamlzlibbioc

MSstatsQC: longitudinal system suitability monitoring and quality control for proteomic experiments

Eralp DOGU [email protected], Sara TAHERI [email protected], Olga VITEK [email protected]

Rendered fromMSstatsQC.Rmdusingknitr::rmarkdownon Dec 04 2024.

Last update: 2018-09-20
Started: 2017-06-20