Package: ProtGenerics 1.39.2

Laurent Gatto

ProtGenerics: Generic infrastructure for Bioconductor mass spectrometry packages

S4 generic functions and classes needed by Bioconductor proteomics packages.

Authors:Laurent Gatto <[email protected]>, Johannes Rainer <[email protected]>

ProtGenerics_1.39.2.tar.gz
ProtGenerics_1.39.2.zip(r-4.7)ProtGenerics_1.39.2.zip(r-4.6)ProtGenerics_1.39.2.zip(r-4.5)
ProtGenerics_1.39.2.tgz(r-4.6-any)ProtGenerics_1.39.2.tgz(r-4.5-any)
ProtGenerics_1.39.2.tar.gz(r-4.7-any)ProtGenerics_1.39.2.tar.gz(r-4.6-any)
ProtGenerics_1.39.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ProtGenerics/json (API)
NEWS

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

Bug tracker:https://github.com/rformassspectrometry/protgenerics/issues

On BioConductor:ProtGenerics-1.45.0(bioc 3.24)ProtGenerics-1.44.0(bioc 3.23)

infrastructureproteomicsmassspectrometrybioconductormass-spectrometrymetabolomics

7.34 score 8 stars 204 packages 10 scripts 137 exports 0 dependencies

Last updated from:0103c319a1. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK106
source / vignettesOK123
linux-release-x86_64OK100
macos-release-arm64OK93
macos-oldrel-arm64OK86
windows-develOK78
windows-releaseOK67
windows-oldrelOK62
wasm-releaseOK79

Exports:accessionsacquisitionNumaddProcessingadjacencyMatrixaggregateFeaturesalignRtanalyseranalyserDetailsanalyzeranalyzerDetailsapplyProcessingas.listbackendBpparambackendInitializebackendMergebackendParallelFactorbincalculateFragmentscentroidedcentroided<-chromatogramchromatogramscollisionEnergycollisionEnergy<-combineFeaturescompareChromatogramscompareSpectracompoundsdatabasedataOrigindataOrigin<-dataStoragedataStorage<-detectorTypeestimatePrecursorIntensityexecuteProcessingStepexpemailexptitleextractByIndexfilterAcquisitionNumfilterDataOriginfilterDataStoragefilterEmptySpectrafilterFeaturesfilterIntensityfilterIsolationWindowfilterMsLevelfilterMzfilterMzRangefilterMzValuesfilterNAfilterPolarityfilterPrecursorChargefilterPrecursorMzfilterPrecursorMzRangefilterPrecursorMzValuesfilterPrecursorScanfilterProductMzfilterProductMzRangefilterProductMzValuesfilterRangesfilterRtfilterSpectrafilterValuesimputeinstrumentCustomisationsinstrumentManufacturerinstrumentModelintensityintensity<-ionCountionsionSourceionSourceDetailsisCentroidedisolationWindowLowerMzisolationWindowLowerMz<-isolationWindowTargetMzisolationWindowTargetMz<-isolationWindowUpperMzisolationWindowUpperMz<-isReadOnlymassmodificationsmsInfomsLevelmsLevel<-mzmz<-peakspeaks<-peaksDatapeaksData<-peaksVariablespeptidespolaritypolarity<-precAcquisitionNumprecScanNumprecursorChargeprecursorCharge<-precursorIntensityprecursorIntensity<-precursorMzprecursorMz<-processingChunkFactorprocessingChunkSizeprocessingChunkSize<-processingDataprocessingData<-ProcessingStepproductMzproductMz<-proteinspsmsquantifyrtimertime<-scanIndexscanssetBackendsmoothsmoothedsmoothed<-spectraspectra<-spectraDataspectraData<-spectraNamesspectraNames<-spectrapplyspectraVariablessupportsSetBackendtictoleranceuniqueMsLevelswriteMSData

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
General backend methodsbackendBpparam backendInitialize backendMerge backendParallelFactor isReadOnly setBackend supportsSetBackend
Extracting elements by indexextractByIndex
Filter featuresfilterFeatures
Filter SpectrafilterSpectra
Generic parameter classas.list,Param-method Param Param-class show,Param-method
Get or set MS peak datapeaksData peaksData<- peaksVariables
Processing QueueaddProcessing applyProcessing processingChunkFactor processingChunkSize processingChunkSize<- processingQueue
Processing stepcharacterOrFunction-class executeProcessingStep ProcessingStep ProcessingStep-class show,ProcessingStep-method
S4 generic functions for Bioconductor proteomics infrastructureProtGenerics-package accessions acquisitionNum adjacencyMatrix aggregateFeatures alignRt analyser analyserDetails analyzer analyzerDetails bin calculateFragments centroided centroided<- chromatogram chromatograms collisionEnergy collisionEnergy<- combineFeatures compareChromatograms compareSpectra compounds database dataOrigin dataOrigin<- dataStorage dataStorage<- detectorType estimatePrecursorIntensity expemail exptitle filterAcquisitionNum filterDataOrigin filterDataStorage filterEmptySpectra filterIntensity filterIsolationWindow filterMsLevel filterMz filterMzRange filterMzValues filterNA filterPolarity filterPrecursorCharge filterPrecursorMz filterPrecursorMzRange filterPrecursorMzValues filterPrecursorScan filterProductMz filterProductMzRange filterProductMzValues filterRanges filterRt filterValues impute instrumentCustomisations instrumentManufacturer instrumentModel intensity intensity<- ionCount ions ionSource ionSourceDetails isCentroided isolationWindowLowerMz isolationWindowLowerMz<- isolationWindowTargetMz isolationWindowTargetMz<- isolationWindowUpperMz isolationWindowUpperMz<- mass modifications msInfo msLevel msLevel<- mz mz<- peaks peaks<- peptides polarity polarity<- precAcquisitionNum precScanNum precursorCharge precursorCharge<- precursorIntensity precursorIntensity<- precursorMz precursorMz<- processingData processingData<- productMz productMz<- proteins ProtGenerics psms quantify rtime rtime<- scanIndex scans smooth smoothed smoothed<- spectra spectra<- spectraData spectraData<- spectraNames spectraNames<- spectrapply spectraVariables tic tolerance uniqueMsLevels writeMSData