{
  "_id": "6a1fe9e8b401979e7343e457",
  "Package": "msPurity",
  "Type": "Package",
  "Title": "Automated Evaluation of Precursor Ion Purity for Mass\nSpectrometry Based Fragmentation in Metabolomics",
  "Version": "1.39.0",
  "Date": "2025-03-10",
  "Authors@R": "c(\nperson(given = \"Thomas N.\", family = \"Lawson\",\nemail = \"thomas.nigel.lawson@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-5915-7980\")),\nperson(given = \"Ralf\", family = \"Weber\", role = \"ctb\"),\nperson(given = \"Martin\", family = \"Jones\", role = \"ctb\"),\nperson(given = \"Julien\", family = \"Saint-Vanne\", role = \"ctb\"),\nperson(given = \"Andris\", family = \"Jankevics\", role = \"ctb\"),\nperson(given = \"Ossama\", family = \"Edbali\",\nemail = \"o.edbali@bham.ac.uk\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0003-0132-8668\")),\nperson(given = \"Mark\", family = \"Viant\", role = \"ths\"),\nperson(given = \"Warwick\", family = \"Dunn\", role = \"ths\"))",
  "URL": "https://github.com/computational-metabolomics/msPurity/",
  "Description": "msPurity R package was developed to: 1) Assess the\nspectral quality of fragmentation spectra by evaluating the\n\"precursor ion purity\". 2) Process fragmentation spectra. 3)\nPerform spectral matching. What is precursor ion purity? -What\nwe call \"Precursor ion purity\" is a measure of the contribution\nof a selected precursor peak in an isolation window used for\nfragmentation. The simple calculation involves dividing the\nintensity of the selected precursor peak by the total intensity\nof the isolation window. When assessing MS/MS spectra this\ncalculation is done before and after the MS/MS scan of interest\nand the purity is interpolated at the recorded time of the\nMS/MS acquisition. Additionally, isotopic peaks can be removed,\nlow abundance peaks are removed that are thought to have\nlimited contribution to the resulting MS/MS spectra and the\nisolation efficiency of the mass spectrometer can be used to\nnormalise the intensities used for the calculation.",
  "Encoding": "UTF-8",
  "License": "GPL-3 + file LICENSE",
  "BugReports": "https://github.com/computational-metabolomics/msPurity/issues/new",
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  "biocViews": "MassSpectrometry, Metabolomics, Software",
  "Collate": "'all-generics.R' 'averaging.R' 'combineAnnotations.R'\n'create-database.R' 'createDatabase.R' 'flag-filter-remove.R'\n'iw-norm.R' 'matching-algs.R' 'meta_extract.R' 'msPurity.R'\n'pcalc.R' 'purityA-0-class.R' 'purityA-av-spectra.R'\n'purityA-constructor.R' 'purityA-create-msp.R'\n'purityA-filter-frag-spectra.R' 'purityA-frag4feature.R'\n'purityA-validate.R' 'purityD-class.R' 'purityD-constructor.R'\n'purityD-av-spectra.R' 'purityD-dims-purity.R'\n'purityD-fileList.R' 'purityD-filterp.R' 'purityD-subtract.R'\n'purityD-writeOut.R' 'purityX-class.R' 'purityX-constructor.R'\n'spectral-matching.R' 'spectralMatching.R' 'splinepurity.R'",
  "Config/pak/sysreqs": "libicu-dev libnetcdf-dev libssl-dev",
  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:43:35 UTC",
  "RemoteUrl": "https://github.com/bioc/msPurity",
  "RemoteRef": "HEAD",
  "RemoteSha": "977fbfa9e2f3a5f8f680c4061556eb1293471276",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-03 08:19:26 UTC",
    "User": "root"
  },
  "Author": "Thomas N. Lawson [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-5915-7980>),\nRalf Weber [ctb],\nMartin Jones [ctb],\nJulien Saint-Vanne [ctb],\nAndris Jankevics [ctb],\nOssama Edbali [ctb] (ORCID: <https://orcid.org/0000-0003-0132-8668>),\nMark Viant [ths],\nWarwick Dunn [ths]",
  "Maintainer": "Thomas N. Lawson <thomas.nigel.lawson@gmail.com>",
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  "_created": "2026-06-03T08:19:26.000Z",
  "_published": "2026-06-03T08:46:32.554Z",
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    "software",
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  "_homeurl": "https://github.com/computational-metabolomics/mspurity",
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  "_exports": [
    "assessPuritySingle",
    "averageAllFragSpectra",
    "averageInterFragSpectra",
    "averageIntraFragSpectra",
    "averageSpectra",
    "averageSpectraSingle",
    "combineAnnotations",
    "create_database",
    "createDatabase",
    "createMSP",
    "dimsPredictPurity",
    "dimsPredictPuritySingle",
    "filterFragSpectra",
    "filterp",
    "flag_remove",
    "frag4feature",
    "get_additional_mzml_meta",
    "Getfiles",
    "getP",
    "groupPeaks",
    "groupPeaksEx",
    "iwNormGauss",
    "iwNormQE.5",
    "iwNormRcosine",
    "pcalc",
    "purityA",
    "purityD",
    "purityX",
    "show",
    "spectral_matching",
    "spectralMatching",
    "subtract",
    "subtractMZ",
    "validate",
    "writeOut"
  ],
  "_help": [
    {
      "page": "assessPuritySingle",
      "title": "Assess the purity of a single LC-MS/MS or DI-MS/MS file",
      "topics": [
        "assessPuritySingle"
      ]
    },
    {
      "page": "averageAllFragSpectra-purityA-method",
      "title": "Using a purityA object, average and filter MS/MS spectra for each XCMS feature within and across MS data files (ignoring intra and inter relationships)",
      "topics": [
        "averageAllFragSpectra",
        "averageAllFragSpectra,purityA-method"
      ]
    },
    {
      "page": "averageInterFragSpectra-purityA-method",
      "title": "Using a purityA object, average and filter fragmentation spectra for each XCMS feature across multiple MS data files",
      "topics": [
        "averageInterFragSpectra",
        "averageInterFragSpectra,purityA-method"
      ]
    },
    {
      "page": "averageIntraFragSpectra-purityA-method",
      "title": "Using a purityA object, average and filter fragmentation spectra for each XCMS feature within a MS data file",
      "topics": [
        "averageIntraFragSpectra",
        "averageIntraFragSpectra,purityA-method"
      ]
    },
    {
      "page": "averageSpectra-purityD-method",
      "title": "Using purityD object, calculates to average mz, intensity and signal-to-noise of multiple scans from multiple MS datafiles (mzML or .csv)",
      "topics": [
        "averageSpectra",
        "averageSpectra,purityD-method"
      ]
    },
    {
      "page": "averageSpectraSingle",
      "title": "Calculates to average mz, intensity and signal-to-noise of multiple scans from 1 MS datafile (mzML or .csv)",
      "topics": [
        "averageSpectraSingle"
      ]
    },
    {
      "page": "combineAnnotations",
      "title": "Combine Annotations",
      "topics": [
        "combineAnnotations"
      ]
    },
    {
      "page": "create_database",
      "title": "Create database deprecated",
      "topics": [
        "create_database"
      ]
    },
    {
      "page": "createDatabase",
      "title": "Create database",
      "topics": [
        "createDatabase"
      ]
    },
    {
      "page": "createMSP-purityA-method",
      "title": "Using a purityA object, create an MSP file of fragmentation spectra",
      "topics": [
        "createMSP",
        "createMSP,purityA-method"
      ]
    },
    {
      "page": "dimsPredictPurity-purityD-method",
      "title": "Using purityD object, assess anticipated purity from a DI-MS run",
      "topics": [
        "dimsPredictPurity",
        "dimsPredictPurity,purityD-method"
      ]
    },
    {
      "page": "dimsPredictPuritySingle",
      "title": "Predict the precursor purity from a DI-MS dataset",
      "topics": [
        "dimsPredictPuritySingle"
      ]
    },
    {
      "page": "filterFragSpectra-purityA-method",
      "title": "Filter fragmentation spectra associated with an XCMS feature",
      "topics": [
        "filterFragSpectra",
        "filterFragSpectra,purityA-method"
      ]
    },
    {
      "page": "filterp-purityD-method",
      "title": "Filter out peaks based on intensity and RSD criteria",
      "topics": [
        "filterp",
        "filterp,purityD-method"
      ]
    },
    {
      "page": "flag_remove",
      "title": "Flag and remove unwanted peaks",
      "topics": [
        "flag_remove"
      ]
    },
    {
      "page": "frag4feature-purityA-method",
      "title": "Using a purityA object, link MS/MS data to XCMS features",
      "topics": [
        "frag4feature",
        "frag4feature,purityA-method"
      ]
    },
    {
      "page": "get_additional_mzml_meta",
      "title": "Get additional mzML meta",
      "topics": [
        "get_additional_mzml_meta"
      ]
    },
    {
      "page": "Getfiles",
      "title": "Get files for DI-MS processing",
      "topics": [
        "Getfiles"
      ]
    },
    {
      "page": "getP-purityD-method",
      "title": "Get peaklist for a purityD object",
      "topics": [
        "getP",
        "getP,purityD-method"
      ]
    },
    {
      "page": "groupPeaks-purityD-method",
      "title": "Using purityD object, group multiple peaklists by similar mz values (mzML or .csv)",
      "topics": [
        "groupPeaks",
        "groupPeaks,purityD-method"
      ]
    },
    {
      "page": "groupPeaksEx",
      "title": "Group peaklists from a list of dataframes",
      "topics": [
        "groupPeaksEx"
      ]
    },
    {
      "page": "initialize-purityD-method",
      "title": "Constructor for S4 class to represent a DI-MS purityD",
      "topics": [
        "initialize,purityD-method"
      ]
    },
    {
      "page": "iwNormGauss",
      "title": "Gaussian normalisation for isolation window efficiency",
      "topics": [
        "iwNormGauss"
      ]
    },
    {
      "page": "iwNormQE.5",
      "title": "Q-Exactive +/- 0.5 range, normalisation for isolation window efficiency",
      "topics": [
        "iwNormQE.5"
      ]
    },
    {
      "page": "iwNormRcosine",
      "title": "Raised cosine normalisation for isolation window efficiency",
      "topics": [
        "iwNormRcosine"
      ]
    },
    {
      "page": "pcalc",
      "title": "Perform purity calculation on a peak matrix",
      "topics": [
        "pcalc"
      ]
    },
    {
      "page": "purityA",
      "title": "Assess the acquired precursor ion purity of MS/MS spectra (constructor)",
      "topics": [
        "purityA"
      ]
    },
    {
      "page": "purityD-class",
      "title": "An S4 class to represent a DI-MS purityD",
      "topics": [
        "purityD",
        "purityD-class"
      ]
    },
    {
      "page": "purityX",
      "title": "Assessing anticipated purity of XCMS features from an LC-MS run",
      "topics": [
        "purityX"
      ]
    },
    {
      "page": "show-purityA-method",
      "title": "Show method for purityA class",
      "topics": [
        "show,purityA-method"
      ]
    },
    {
      "page": "show-purityD-method",
      "title": "Show method for purityD",
      "topics": [
        "show,purityD-method"
      ]
    },
    {
      "page": "show-purityX-method",
      "title": "Show method for purityX",
      "topics": [
        "show,purityX-method"
      ]
    },
    {
      "page": "spectral_matching",
      "title": "Spectral matching deprecated",
      "topics": [
        "spectral_matching"
      ]
    },
    {
      "page": "spectralMatching",
      "title": "Spectral matching for LC-MS/MS datasets",
      "topics": [
        "spectralMatching"
      ]
    },
    {
      "page": "subtract-purityD-method",
      "title": "Using Subtract MZ values based on ppm tolerance and noise ratio",
      "topics": [
        "subtract",
        "subtract,purityD-method"
      ]
    },
    {
      "page": "subtractMZ",
      "title": "Subtract MZ values based on ppm tolerance and noise ratio",
      "topics": [
        "subtractMZ"
      ]
    },
    {
      "page": "validate-purityA-method",
      "title": "Validate precursor purity predictions using LC-MS and LC-MS/MS dataset",
      "topics": [
        "validate",
        "validate,purityA-method"
      ]
    },
    {
      "page": "writeOut-purityD-method",
      "title": "Using purityD object, save peaks as text files",
      "topics": [
        "writeOut",
        "writeOut,purityD-method"
      ]
    }
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      "source": "msPurity-vignette.Rmd",
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      "title": "LC-MS/MS data processing and spectral matching workflow using msPurity and XCMS",
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