Package: MSnbase 2.31.1

Laurent Gatto

MSnbase: Base Functions and Classes for Mass Spectrometry and Proteomics

MSnbase provides infrastructure for manipulation, processing and visualisation of mass spectrometry and proteomics data, ranging from raw to quantitative and annotated data.

Authors:Laurent Gatto, Johannes Rainer and Sebastian Gibb with contributions from Guangchuang Yu, Samuel Wieczorek, Vasile-Cosmin Lazar, Vladislav Petyuk, Thomas Naake, Richie Cotton, Arne Smits, Martina Fisher, Ludger Goeminne, Adriaan Sticker, Lieven Clement and Pascal Maas.

MSnbase_2.31.1.tar.gz
MSnbase_2.31.1.zip(r-4.5)MSnbase_2.31.1.zip(r-4.4)MSnbase_2.31.1.zip(r-4.3)
MSnbase_2.31.1.tgz(r-4.4-arm64)MSnbase_2.31.1.tgz(r-4.4-x86_64)MSnbase_2.31.1.tgz(r-4.3-arm64)MSnbase_2.31.1.tgz(r-4.3-x86_64)
MSnbase_2.31.1.tar.gz(r-4.5-noble)MSnbase_2.31.1.tar.gz(r-4.4-noble)
MSnbase_2.31.1.tgz(r-4.4-emscripten)MSnbase_2.31.1.tgz(r-4.3-emscripten)
MSnbase.pdf |MSnbase.html
MSnbase/json (API)

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

Peer review:

Bug tracker:https://github.com/lgatto/msnbase/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • TMT10 - TMT 6/10-plex sets
  • TMT10ETD - TMT 6/10-plex sets
  • TMT10HCD - TMT 6/10-plex sets
  • TMT11 - TMT 6/10-plex sets
  • TMT11HCD - TMT 6/10-plex sets
  • TMT16 - TMT 6/10-plex sets
  • TMT16HCD - TMT 6/10-plex sets
  • TMT6 - TMT 6/10-plex sets
  • TMT6b - TMT 6/10-plex sets
  • TMT7 - TMT 6/10-plex sets
  • TMT7b - TMT 6/10-plex sets
  • iTRAQ4 - ITRAQ 4-plex set
  • iTRAQ5 - ITRAQ 4-plex set
  • iTRAQ8 - ITRAQ 4-plex set
  • iTRAQ9 - ITRAQ 4-plex set
  • itraqdata - Example 'MSnExp' and 'MSnSet' data sets
  • msnset - Example 'MSnExp' and 'MSnSet' data sets
  • msnset2 - Example 'MSnExp' and 'MSnSet' data sets
  • naset - Quantitative proteomics data imputation

On BioConductor:MSnbase-2.31.0(bioc 3.20)MSnbase-2.30.1(bioc 3.19)

bioconductor-package

237 exports 4.55 score 126 dependencies 33 dependents 24 mentions

Last updated 2 months agofrom:d2b734ee72

Exports:abstractacquisitionNumaddFeaturesOfInterestaddIdentificationDataaddMSnSetMetadataaggregationFunaggvaralignRtall.equalanalyseranalyserDetailsanalyzeranalyzerDetailsas.data.frame.MSnExpas.data.frame.MSnSetas.data.frame.mzRidentas.data.frame.Spectrumas.ExpressionSet.MSnSetas.matrix.FoICollectionas.MIAME.MIAPEas.MSnExp.OnDiskMSnExpas.MSnSet.ExpressionSetassayDataassayData<-averageMSnSetbinbpicalculateFragmentscentroidedcentroided<-chromatogramChromatogramcleancoercecollisionEnergycolnames<-combinecombineFeaturescombineSpectracombineSpectraMovingWindowcommentscommoncommonFeatureNamescompareChromatogramscompareMSnSetscompareSpectracompfnamesconsensusSpectrumdescriptiondetectorTypedroplevels.MSnSetestimateMzResolutionestimateMzScatteringestimateNoiseexpandFeatureVarsexpemailexperimentData<-exprsexptitleextractPrecSpectraextractSpectraDatafactorsAsStringsfDatafData<-featureCVfeatureNamesfeatureNames<-FeaturesOfInterestfileNamefileNamesfillUpfilterAcquisitionNumfilterEmptySpectrafilterFilefilterIdentificationDataFramefilterIntensityfilterIsolationWindowfilterMsLevelfilterMzfilterNAfilterPolarityfilterPrecursorMzfilterPrecursorScanfilterRtfilterZerofnamesInfoiFoICollectionformatRtfromFilefvarLabelsgetEcolsgrepEcolshasChromatogramshasSpectraheaderidSummaryimageimage2imputeinstrumentCustomisationsinstrumentManufacturerinstrumentModelintensityionCountionSourceionSourceDetailsis.na.MSnSetisCentroidedisCentroidedFromFileisEmptyisMSnbaseFastLoadisMSnbaseVerboseisolationWindowLowerMzisolationWindowUpperMzlistOfmakeCamelCasemakeImpuritiesMatrixmakeMTDmakeNaDatamakeNaData2makePEPmakePRTMAplotMChromatogramsmeanMzIntsmergeFeatureVarsmetadatamoleculeEvidencemoleculeFeaturesms2dfmsInfomsLevelmsMapMSmapMSnbaseOptionsMSnSetMSnSetListmsnsetsMSpectramultiLabelsmultiplexmzmzResMzTabmzTabModemzTabTypenaplotnFeaturesnormalisenormalizenpcvnQuantsobjlogpDatapData<-peaksCountphenoDataphenoData<-pickPeaksplotplot2dplot3DplotDensityplotMzDeltaplotNApolarityprecScanNumprecSelectionprecSelectionTableprecursorChargeprecursorIntensityprecursorMzprocessingDataproductMzpsmspurityCorrectqualquantifyreadMgfDatareadMSDatareadMSData2readMSnSetreadMSnSet2readMzIdDatareadMzTabDatareadMzTabData_v0.9readSRMDatareduceremoveMultipleAssignmentremoveNoIdremovePeaksremoveReportersreporterColorsreporterColoursreporterNamesreporterNames<-requiredFvarLabelsrmFeaturesOfInterestrtimesampleNamessampleNames<-scalescanIndexselectFeatureDatasetMSnbaseFastLoadsetMSnbaseParallelThreshsetMSnbaseVerboseshowsmallMoleculessmoothsmoothedsmoothed<-spectraspectrapplysplitsplitByFilett.MSnSettictopNtransformIntensitytrimMztrimwsunique1unique2updateFeatureNamesupdateFvarLabelsupdateObjectupdateSampleNamesvalidateOnDiskMSnExpwhichNAwidthwrite.exprswriteMgfDatawriteMSDatawriteMzTabData

Dependencies:abindaffyaffyioAnnotationFilteraskpassbase64encBHBiobaseBiocBaseUtilsBiocGenericsBiocManagerBiocParallelbslibcachemcliclueclustercodetoolscolorspacecpp11crayoncrosstalkcurldata.tableDelayedArraydigestdoParalleldplyrevaluatefansifarverfastmapfontawesomeforeachformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehighrhtmltoolshtmlwidgetshttrigraphimputeIRangesisobanditeratorsjquerylibjsonliteknitrlabelinglambda.rlaterlatticelazyevallifecyclelimmamagrittrMALDIquantMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeMsCoreUtilsMultiAssayExperimentmunsellmzIDmzRncdf4nlmeopensslpcaMethodspillarpkgconfigplotlyplyrpreprocessCorepromisesProtGenericsPSMatchpurrrQFeaturesR6rappdirsRColorBrewerRcppreshape2Rhdf5librlangrmarkdownS4ArraysS4VectorssassscalessnowSparseArraystatmodstringistringrSummarizedExperimentsystibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisLitevsnwithrxfunXMLXVectoryamlzlibbioc

Readme and manuals

Help Manual

Help pageTopics
Adds Identification DataaddIdentificationData addIdentificationData-methods
Identify aggregation outliersaggvar
Coerce identification data to a 'data.frame'as as.data.frame.mzRident
Generate an average 'MSnSet'averageMSnSet
Bin 'MSnExp' or 'Spectrum' instancesbin bin-methods
Calculate ions produced by fragmentation.calculateFragments calculateFragments,character,missing-method
Representation of chromatographic MS dataaggregationFun alignRt,Chromatogram,Chromatogram-method as.data.frame,Chromatogram-method bin,Chromatogram-method Chromatogram Chromatogram-class clean,Chromatogram-method compareChromatograms compareChromatograms,Chromatogram,Chromatogram-method filterIntensity,Chromatogram-method filterRt,Chromatogram-method fromFile,Chromatogram-method intensity,Chromatogram-method isEmpty,Chromatogram-method length,Chromatogram-method msLevel,Chromatogram-method mz,Chromatogram-method normalize,Chromatogram-method plot,Chromatogram,ANY-method precursorMz,Chromatogram-method productMz,Chromatogram-method rtime,Chromatogram-method show,Chromatogram-method transformIntensity transformIntensity,Chromatogram-method
Extract chromatogram object(s)chromatogram chromatogram,MSnExp-method
Clean 'MSnExp', 'Spectrum' or 'Chromatogram' instancesclean clean-methods
Combines features in an 'MSnSet' objectcombineFeatures combineFeatures,MSnSet-method
Combine SpectracombineSpectra combineSpectra,MSnExp-method combineSpectra,MSpectra-method
Combine signal from consecutive spectra of LCMS experimentscombineSpectraMovingWindow
Keep only common feature namescommonFeatureNames
Compare two MSnSetscompareMSnSets
Compare Spectra of an 'MSnExp' or 'Spectrum' instancescompareSpectra compareSpectra-methods
Combine spectra to a consensus spectrumconsensusSpectrum
Estimate the m/z resolution of a spectrumestimateMzResolution estimateMzResolution,MSnExp-method estimateMzResolution,Spectrum-method
Estimate m/z scattering in consecutive scansestimateMzScattering
Noise Estimation for 'Spectrum' instancesestimateNoise estimateNoise-methods
Expand or merge feature variablesexpandFeatureVars mergeFeatureVars
Extracts precursor-specific spectra from an 'MSnExp' objectextractPrecSpectra extractPrecSpectra-methods
Extract data from MSnbase objects for use in SpectraextractSpectraData
Converts factors to stringsfactorsAsStrings
Class '"FeatComp"'common common,FeatComp-method common,methods compfnames compfnames,list,missing-method compfnames,MSnSet,MSnSet-method compfnames-methods FeatComp-class names,FeatComp-method show,FeatComp-method unique1 unique1,FeatComp-method unique1,methods unique2 unique2,FeatComp-method unique2,methods
Calculates coeffivient of variation for featuresfeatureCV
Features of InterestaddFeaturesOfInterest addFeaturesOfInterest,FeaturesOfInterest,FoICollection-method addFeaturesOfInterest-methods as.matrix.FoICollection coerce,FoICollection,matrix-method description,FeaturesOfInterest-method description,FoICollection-method FeaturesOfInterest FeaturesOfInterest,character,character,missing-method FeaturesOfInterest,character,character,MSnSet-method FeaturesOfInterest-class FeaturesOfInterest-methods fnamesIn fnamesIn,FeaturesOfInterest,data.frame-method fnamesIn,FeaturesOfInterest,matrix-method fnamesIn,FeaturesOfInterest,MSnSet-method fnamesIn-methods foi foi,FeaturesOfInterest-method foi,FoICollection-method foi-methods FoICollection FoICollection,list-method FoICollection,missing-method FoICollection-class FoICollection-methods length,FeaturesOfInterest-method length,FoICollection-method lengths,FoICollection-method names,FoICollection-method names<-,FoICollection,character-method rmFeaturesOfInterest rmFeaturesOfInterest,FoICollection,numeric-method rmFeaturesOfInterest-methods show,FeaturesOfInterest-method show,FoICollection-method [,FoICollection,ANY,ANY,ANY-method [,FoICollection,ANY,ANY-method [,FoICollection-method [[,FoICollection,ANY,ANY-method [[,FoICollection-method
Fills up a vectorfillUp
Filter out unreliable PSMs.filterIdentificationDataFrame
Format Retention TimeformatRt
Return a variable namegetVariableName
Returns the matching column names of indices.getEcols grepEcols
Checks if raw data files have any spectra or chromatogramshasChromatograms hasSpectra
NA heatmap visualisation for 2 groupsimageNA2
Quantitative proteomics data imputationimpute,MSnSet-method naset
iPQF: iTRAQ (and TMT) Protein Quantification based on FeaturesiPQF
Get mode from mzML data fileisCentroidedFromFile
iTRAQ 4-plex setiTRAQ4 iTRAQ5 iTRAQ8 iTRAQ9
Example 'MSnExp' and 'MSnSet' data setsitraqdata msnset msnset2
Tests equality of list elements classlistOf
Convert to camel case by replacing dots by captial lettersmakeCamelCase
Create a data with missing valuesmakeNaData makeNaData2 whichNA
Container for multiple Chromatogram objects$,MChromatograms-method $<-,MChromatograms-method alignRt,MChromatograms,Chromatogram-method bin,MChromatograms-method c,MChromatograms-method clean,MChromatograms-method coerce,matrix,MChromatograms-method colnames<-,MChromatograms,ANY-method colnames<-,MChromatograms-method compareChromatograms,MChromatograms,MChromatograms-method compareChromatograms,MChromatograms,missing-method fData,MChromatograms-method fData<-,MChromatograms,ANY-method featureData,MChromatograms-method featureData<-,MChromatograms,ANY-method featureNames,MChromatograms-method featureNames<-,MChromatograms-method filterIntensity,MChromatograms-method fvarLabels,MChromatograms-method isEmpty,MChromatograms-method MChromatograms MChromatograms-class mz,MChromatograms-method normalize,MChromatograms-method pData,MChromatograms-method pData<-,MChromatograms,data.frame-method phenoData,MChromatograms-method plot,MChromatograms,ANY-method polarity,MChromatograms-method precursorMz,MChromatograms-method productMz,MChromatograms-method rownames<-,MChromatograms-method sampleNames,MChromatograms-method sampleNames<-,MChromatograms,ANY-method show,MChromatograms-method transformIntensity,MChromatograms-method [,MChromatograms,ANY,ANY,ANY-method [<-,MChromatograms,ANY,ANY,ANY-method [<-,MChromatograms-method
Combine a list of spectra to a single spectrummeanMzInts
The "MIAPE" Class for Storing Proteomics Experiment Informationabstract,MIAPE-method analyser analyser,MIAPE-method analyserDetails analyserDetails,MIAPE-method analyzer analyzer,MIAPE-method analyzerDetails analyzerDetails,MIAPE-method as.MIAME.MIAPE class:MIAPE coerce,MIAPE,MIAME-method combine,MIAPE,MIAPE-method detectorType detectorType,MIAPE-method expemail expemail,MIAPE-method expinfo,MIAPE-method exptitle exptitle,MIAPE-method instrumentCustomisations instrumentCustomisations,MIAPE-method instrumentManufacturer instrumentManufacturer,MIAPE-method instrumentModel instrumentModel,MIAPE-method ionSource ionSource,MIAPE-method ionSourceDetails ionSourceDetails,MIAPE-method MIAPE MIAPE-class msInfo msInfo,MIAPE-method notes,MIAPE-method notes<-,MIAPE-method otherInfo,MIAPE-method pubMedIds,MIAPE-method pubMedIds<-,MIAPE-method samples,MIAPE-method show,MIAPE-method
Documenting missing data visualisationmissing-data missingdata
Class 'MSmap'coerce,MSmap,data.frame-method dim,MSmap-method fileName,MSmap-method fileNames,MSmap-method msLevel,MSmap-method MSmap msMap msMap,MSmap-method MSmap,mzRpwiz-method MSmap,mzRramp-method MSmap,mzRraw-method MSmap,OnDiskMSnExp-method MSmap-class MSmap-method mz,MSmap-method mzRes mzRes,MSmap-method ncol,MSmap-method nrow,MSmap-method plot,MSmap,missing-method plot3D plot3D,MSmap-method rtime,MSmap-method show,MSmap-method t,MSmap-method
MSnbase optionsisMSnbaseFastLoad isMSnbaseVerbose MSnbaseOptions setMSnbaseFastLoad setMSnbaseParallelThresh setMSnbaseVerbose
The 'MSnExp' Class for MS Data And Meta-DataaddIdentificationData,MSnExp,character-method addIdentificationData,MSnExp,data.frame-method addIdentificationData,MSnExp,mzID-method addIdentificationData,MSnExp,mzIDClasses-method addIdentificationData,MSnExp,mzIDCollection-method addIdentificationData,MSnExp,mzRident-method all.equal,MSnExp,MSnExp-method all.equal,MSnExp,OnDiskMSnExp-method all.equal,OnDiskMSnExp,MSnExp-method all.equal,OnDiskMSnExp,OnDiskMSnExp-method as.data.frame.MSnExp bin,MSnExp-method class:MSnExp clean,MSnExp-method coerce,MSnExp,data.frame-method coerce,MSnExp,MSpectra-method compareSpectra,MSnExp,missing-method estimateNoise,MSnExp-method extractPrecSpectra,MSnExp,numeric-method extractPrecSpectra,MSnExp-method filterAcquisitionNum filterAcquisitionNum,MSnExp-method filterAcquisitionNum,OnDiskMSnExp-method filterEmptySpectra filterEmptySpectra,MSnExp-method filterEmptySpectra,OnDiskMSnExp-method filterFile filterFile,MSnExp-method filterFile,OnDiskMSnExp-method filterIsolationWindow filterIsolationWindow,MSnExp-method filterMsLevel filterMsLevel,MSnExp-method filterMsLevel,OnDiskMSnExp-method filterMz,MSnExp-method filterMz,OnDiskMSnExp-method filterPolarity filterPolarity,MSnExp-method filterPolarity,OnDiskMSnExp-method filterPrecursorMz filterPrecursorMz,MSnExp-method filterPrecursorScan filterPrecursorScan,MSnExp-method filterPrecursorScan,OnDiskMSnExp-method filterRt filterRt,MSnExp-method filterRt,OnDiskMSnExp-method idSummary,MSnExp-method isCentroided,MSnExp-method isolationWindow,MSnExp-method MSnExp MSnExp-class pickPeaks,MSnExp-method plot,MSnExp plot,MSnExp,missing-method quantify,MSnExp,character-method quantify,MSnExp-method quantify,OnMSnExp-method removeMultipleAssignment,MSnExp-method removeNoId,MSnExp-method removePeaks,MSnExp-method removeReporters,MSnExp-method removeReporters,OnDiskMSnExp-method show,MSnExp-method smooth,MSnExp-method spectra,MSnExp-method splitByFile splitByFile,MSnExp,factor-method splitByFile,OnDiskMSnExp,factor-method trimMz,MSnExp,numeric-method trimMz,MSnExp-method
The "MSnProcess" Classclass:MSnProcess coerce,MSnProcess,list-method combine,MSnProcess,MSnProcess-method fileNames,MSnProcess-method MSnProcess MSnProcess-class show,MSnProcess-method
The "MSnSet" Class for MS Proteomics Expression Data and Meta-DataacquisitionNum,MSnSet-method addIdentificationData,MSnSet,character-method addIdentificationData,MSnSet,data.frame-method addIdentificationData,MSnSet,mzID-method addIdentificationData,MSnSet,mzIDClasses-method addIdentificationData,MSnSet,mzIDCollection-method addIdentificationData,MSnSet,mzRident-method addMSnSetMetadata analyser,MSnSet-method analyzer,MSnSet-method as.data.frame.MSnSet as.ExpressionSet.MSnSet as.MSnSet.ExpressionSet class:MSnSet coerce,ExpressionSet,MSnSet-method coerce,IBSpectra,MSnSet-method coerce,MSnSet,data.frame-method coerce,MSnSet,ExpressionSet-method coerce,MSnSet,SummarizedExperiment-method coerce,SummarizedExperiment,MSnSet-method combine,MSnSet,MSnSet-method description,MSnSet-method detectorType,MSnSet-method dim,MSnSet-method droplevels.MSnSet expemail,MSnSet-method experimentData<-,MSnSet,MIAPE-method exprs,MSnSet-method exptitle,MSnSet-method fData<-,MSnSet,data.frame-method fileNames,MSnSet-method filterMsLevel,MSnSet-method filterNA filterNA,matrix-method filterNA,MSnSet-method filterZero filterZero,matrix-method filterZero,MSnSet-method fromFile,MSnSet-method idSummary idSummary,MSnSet-method image,MSnSet-method image2 ionSource,MSnSet-method log,MSnSet-method MAplot,MSnSet-method meanSdPlot,MSnSet-method ms2df msInfo,MSnSet-method MSnSet MSnSet-class pData<-,MSnSet,data.frame-method processingData,MSnSet-method purityCorrect,MSnSet,matrix-method purityCorrect,MSnSet-method qual qual,MSnSet-method removeMultipleAssignment removeMultipleAssignment,MSnSet-method removeMultipleAssignment-method removeNoId,MSnSet-method show,MSnSet-method t.MSnSet topN topN,matrix-method topN,MSnSet,MSnSet-method topN,MSnSet-method trimws trimws,data.frame-method trimws,MSnSet-method updateFeatureNames updateFvarLabels updateSampleNames write.exprs write.exprs,MSnSet-method [,MSnSet,ANY,ANY,ANY-method [,MSnSet,ANY,ANY-method [,MSnSet-method
Storing multiple related MSnSetsfData,MSnSetList-method fData<-,MSnSetList,DataFrame-method lapply,MSnSetList-method length,MSnSetList-method MSnSetList MSnSetList-class msnsets names,MSnSetList-method names<-,MSnSetList,ANY-method objlog sapply,MSnSetList-method show,MSnSetList-method split,MSnSet,character-method split,MSnSet,factor-method unsplit,MSnSetList,factor-method [,MSnSetList,ANY,ANY,ANY-method [,MSnSetList,ANY,missing,missing-method [[,MSnSetList,ANY,ANY-method [[,MSnSetList,ANY,missing-method
List of Spectrum objects along with annotationsacquisitionNum,MSpectra-method centroided,MSpectra-method clean,MSpectra-method coerce,MSpectra,list-method coerce,MSpectra,MSnExp-method collisionEnergy,MSpectra-method filterMsLevel,MSpectra-method filterMz,MSpectra-method fromFile,MSpectra-method intensity,MSpectra-method ionCount,MSpectra-method isCentroided,MSpectra-method isEmpty,MSpectra-method msLevel,MSpectra-method MSpectra MSpectra-class mz,MSpectra-method peaksCount,MSpectra,ANY-method pickPeaks,MSpectra-method polarity,MSpectra-method precScanNum,MSpectra-method precursorCharge,MSpectra-method precursorIntensity,MSpectra-method precursorMz,MSpectra-method removePeaks,MSpectra-method rtime,MSpectra-method scanIndex,MSpectra-method show,MSpectra-method smooth,MSpectra-method smoothed,MSpectra-method tic,MSpectra-method writeMgfData,MSpectra-method
Parse 'MzTab' filesclass:MzTab coerce,MzTab,MSnSetList-method comments fileName,MzTab-method fileNames,MzTab-method metadata,MzTab-method moleculeEvidence moleculeFeatures MzTab MzTab-class mzTabMode mzTabType peptides,MzTab-method proteins,MzTab-method psms,MzTab-method show,MzTab-method smallMolecules
Overview of missing valuenaplot
Navigate an 'MSnExp' objectnavMS nextMS prevMS
How many features in a group?nFeatures
Normalisation of 'MSnExp', 'MSnSet' and 'Spectrum' objectsnormalise normalise,MSnExp-method normalise,MSnSet-method normalise,Spectrum-method normalise,Spectrum2-method normalise-methods normalize normalize,MSnExp-method normalize,MSnSet-method normalize,Spectrum-method normalize,Spectrum2-method normalize-methods scale,MSnSet-method
Combine peptides into proteins.normToReference NTR
Non-parametric coefficient of variationnpcv
Count the number of quantitfied features.nQuants
The 'OnDiskMSnExp' Class for MS Data And Meta-DataacquisitionNum,OnDiskMSnExp-method as.MSnExp.OnDiskMSnExp assayData,OnDiskMSnExp-method bin,OnDiskMSnExp-method bpi bpi,OnDiskMSnExp-method centroided,OnDiskMSnExp-method centroided<-,OnDiskMSnExp,logical-method class:OnDiskMSnExp clean,OnDiskMSnExp-method coerce,OnDiskMSnExp,MSnExp-method collisionEnergy,OnDiskMSnExp-method compareSpectra,OnDiskMSnExp,missing-method estimateNoise,OnDiskMSnExp-method extractPrecSpectra,OnDiskMSnExp,numeric-method featureNames,OnDiskMSnExp-method featureNames<-,OnDiskMSnExp,ANY-method featureNames<-,OnDiskMSnExp-method fromFile,OnDiskMSnExp-method header,OnDiskMSnExp,missing-method header,OnDiskMSnExp,numeric-method intensity,OnDiskMSnExp-method ionCount,OnDiskMSnExp-method isCentroided,OnDiskMSnExp-method isolationWindowLowerMz,OnDiskMSnExp-method isolationWindowUpperMz,OnDiskMSnExp-method length,OnDiskMSnExp-method msLevel,OnDiskMSnExp-method mz,OnDiskMSnExp-method normalise,OnDiskMSnExp-method normalize,OnDiskMSnExp-method OnDiskMSnExp OnDiskMSnExp-class peaksCount,OnDiskMSnExp,missing-method peaksCount,OnDiskMSnExp,numeric-method pickPeaks,OnDiskMSnExp-method polarity,OnDiskMSnExp-method precScanNum,OnDiskMSnExp-method precursorCharge,OnDiskMSnExp-method precursorIntensity,OnDiskMSnExp-method precursorMz,OnDiskMSnExp-method quantify,OnDiskMSnExp-method removePeaks,OnDiskMSnExp-method rtime,OnDiskMSnExp-method scanIndex,OnDiskMSnExp-method show,OnDiskMSnExp-method smooth,OnDiskMSnExp-method smoothed,OnDiskMSnExp-method smoothed<-,OnDiskMSnExp,logical-method spectra,OnDiskMSnExp-method spectrapply,OnDiskMSnExp-method tic,OnDiskMSnExp-method trimMz,OnDiskMSnExp,numeric-method validateOnDiskMSnExp [,OnDiskMSnExp,ANY,ANY,ANY-method [,OnDiskMSnExp,logicalOrNumeric,missing,missing-method [[,OnDiskMSnExp,ANY,ANY,missing-method [[,OnDiskMSnExp,ANY,ANY-method [[,OnDiskMSnExp,ANY,missing,missing-method [[,OnDiskMSnExp-method
Peak Detection for 'MSnExp' or 'Spectrum' instancespickPeaks pickPeaks-methods
Plotting 'MSnExp' and 'Spectrum' object(s)plot plot,Spectrum,missing-method plot,Spectrum-method plot,Spectrum2,character-method plot-methods plot.MSnExp plot.Spectrum plot.Spectrum.character
Plotting a 'Spectrum' vs another 'Spectrum' object.plot,Spectrum,Spectrum-method plot.Spectrum.Spectrum
The 'plot2d' method for 'MSnExp' quality assessmentplot2d plot2d,data.frame-method plot2d,MSnExp-method plot2d-methods
The 'plotDensity' method for 'MSnExp' quality assessmentplotDensity plotDensity,data.frame-method plotDensity,MSnExp-method plotDensity-methods
The delta m/z plotplotMzDelta plotMzDelta,MSnExp-method plotMzDelta,mzRramp-method plotMzDelta-methods
Exploring missing data in 'MSnSet' instancesis.na.MSnSet plotNA plotNA,matrix-method plotNA,MSnSet-method plotNA-methods
Number of precursor selection eventsprecSelection precSelectionTable
Simple processing step classexecuteProcessingStep ProcessingStep ProcessingStep-class ProcessingStep:OnDiskMSnExp show,ProcessingStep-method
Class to Contain Raw Mass-Spectrometry Assays and Experimental Metadata$,pSet-method $<-,pSet-method abstract,pSet-method acquisitionNum,pSet-method analyser,pSet-method analyserDetails,pSet-method analyzer,pSet-method analyzerDetails,pSet-method assayData,pSet-method centroided,pSet-method centroided<-,pSet,ANY-method centroided<-,pSet,logical-method class:pSet coerce,AnnotatedDataFrame,list-method coerce,MIAxE,list-method collisionEnergy,pSet-method description,pSet-method detectorType,pSet-method dim dim,pSet-method expemail,pSet-method experimentData,pSet-method exptitle,pSet-method fData,pSet-method fData<-,pSet,data.frame-method featureData,pSet-method featureNames,pSet-method fileNames fileNames,pSet-method fromFile,pSet-method fvarLabels,pSet-method fvarMetadata,pSet-method header header,pSet,missing-method header,pSet,numeric-method instrumentCustomisations,pSet-method instrumentManufacturer,pSet-method instrumentModel,pSet-method intensity,pSet-method ionCount,pSet-method ionSource,pSet-method ionSourceDetails,pSet-method isolationWindowLowerMz isolationWindowLowerMz,pSet-method isolationWindowUpperMz isolationWindowUpperMz,pSet-method length length,pSet-method msInfo,pSet-method msLevel,pSet-method mz,pSet-method notes,pSet-method pData,pSet-method pData<-,pSet,ANY-method peaksCount,pSet,missing-method peaksCount,pSet,numeric-method phenoData,pSet-method phenoData<-,pSet,ANY-method polarity,pSet-method precAcquisitionNum,pSet-method precScanNum,pSet-method precursorCharge,pSet-method precursorIntensity,pSet-method precursorMz,pSet-method processingData processingData,pSet-method protocolData,pSet-method pSet pSet-class pubMedIds,pSet-method rtime,pSet-method sampleNames,pSet-method sampleNames<-,pSet,character-method scanIndex,pSet-method smoothed,pSet-method smoothed<-,pSet,ANY-method smoothed<-,pSet,logical-method spectra spectra,pSet-method spectrapply spectrapply,pSet-method tic,pSet-method varLabels,pSet-method varMetadata,pSet-method [,pSet,ANY,ANY,ANY-method [,pSet,ANY,ANY-method [,pSet-method [[,pSet,ANY,ANY-method [[,pSet-method
Performs reporter ions purity correctionmakeImpuritiesMatrix purityCorrect purityCorrect-methods
Quantifies 'MSnExp' and 'Spectrum' objectsquantify quantify-methods
Import mgf files as 'MSnExp' instances.readMgfData
Imports mass-spectrometry raw data files as 'MSnExp' instances.readMSData readMSData2
Read 'MSnSet'readMSnSet readMSnSet2
Import peptide-spectrum matchescoerce,mzRident,data.frame-method readMzIdData
Read an 'mzTab' filereadMzTabData
Read an 'mzTab' filereadMzTabData_v0.9
Read SRM/MRM chromatographic datareadSRMData
Reduce a data.framereduce,data.frame-method
Removes non-identified featuresremoveNoId removeNoId-methods
Removes low intensity peaksremovePeaks removePeaks-methods
Removes reporter ion tag peaksremoveReporters removeReporters-methods
The "ReporterIons" Classclass:ReporterIons description,ReporterIons-method length,ReporterIons-method length-method mz,ReporterIons-method names,ReporterIons-method reporterColors reporterColors,ReporterIons-method reporterColors-method reporterColours reporterColours,ReporterIons-method reporterColours-method ReporterIons ReporterIons-class reporterNames reporterNames,ReporterIons-method reporterNames-method reporterNames<- reporterNames<-,ReporterIons,ANY-method reporterNames<-,ReporterIons,character-method reporterNames<-,ReporterIons-method show,ReporterIons-method width width,ReporterIons-method width-method [,ReporterIons,ANY,ANY,ANY-method [,ReporterIons,ANY,ANY-method [,ReporterIons-method
Select feature variables of interestrequiredFvarLabels selectFeatureData
Smooths 'MSnExp' or 'Spectrum' instancessmooth smooth-methods
The "Spectrum" ClassacquisitionNum acquisitionNum,Spectrum-method as.data.frame.Spectrum bin,Spectrum-method centroided centroided,Spectrum-method centroided<- centroided<-,Spectrum,ANY-method centroided<-,Spectrum,logical-method class:Spectrum clean,Spectrum-method coerce,Spectrum,data.frame-method compareSpectra,Spectrum,Spectrum-method estimateNoise,Spectrum-method filtermz,Spectrum,numeric-method filterMz,Spectrum-method fromFile fromFile,Spectrum-method intensity intensity,Spectrum-method ionCount ionCount,Spectrum-method isCentroided isCentroided,Spectrum-method isEmpty,environment-method isEmpty,Spectrum-method msLevel msLevel,Spectrum-method mz mz,Spectrum-method peaksCount peaksCount,Spectrum,missing-method pickPeaks,Spectrum-method polarity polarity,Spectrum-method quantify,Spectrum,character-method quantify,Spectrum-method removePeaks,Spectrum-method rtime rtime,Spectrum-method scanIndex scanIndex,Spectrum-method show,Spectrum-method smooth,Spectrum-method smoothed smoothed,Spectrum-method smoothed<- smoothed<-,Spectrum,ANY-method smoothed<-,Spectrum,logical-method Spectrum Spectrum-class tic tic,Spectrum-method trimMz,Spectrum,numeric-method trimMz,Spectrum-method
The "Spectrum1" Class for MS1 Spectraclass:Spectrum1 Spectrum1 Spectrum1-class
The "Spectrum2" Class for MSn SpectracalculateFragments,character,Spectrum2-method class:Spectrum2 collisionEnergy collisionEnergy,Spectrum-method precAcquisitionNum precAcquisitionNum,Spectrum-method precScanNum precScanNum,Spectrum-method precursorCharge precursorCharge,Spectrum-method precursorIntensity precursorIntensity,Spectrum-method precursorMz precursorMz,Spectrum-method removeReporters,Spectrum-method Spectrum2 Spectrum2-class
TMT 6/10-plex setsTMT10 TMT10ETD TMT10HCD TMT11 TMT11HCD TMT16 TMT16HCD TMT6 TMT6b TMT7 TMT7b
Trims 'MSnExp' or 'Spectrum' instancesfilterMz filterMz-methods trimMz trimMz-methods
Update MSnbase objectsupdateObject,MSnExp-method updateObject,Spectrum-method
Write an experiment or spectrum to an mgf filewriteMgfData writeMgfData,MSnExp-method writeMgfData,Spectrum-method writeMgfData-methods
Write MS data to mzML or mzXML fileswriteMSData writeMSData,MSnExp,character-method
Export an MzTab object as mzTab file.writeMzTabData