{
  "_id": "6aafa9943d719c1f840806ce",
  "Package": "DEP",
  "Title": "Differential Enrichment analysis of Proteomics data",
  "Version": "3.99.0",
  "Authors@R": "c(\nperson(\"Jelmer\", \"Dijkstra\", email = \"protechrobioMV@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Arne\", \"Smits\", email = \"smits.arne@gmail.com\", role = \"aut\"),\nperson(\"Wolfgang\", \"Huber\", email = \"wolfgang.huber@embl.de\", role = \"aut\"))",
  "Description": "This package provides an integrated analysis workflow for\nrobust and reproducible analysis of mass spectrometry\nproteomics data for differential protein expression or\ndifferential enrichment. It requires tabular input (e.g. txt\nfiles) as generated by quantitative analysis softwares of raw\nmass spectrometry data, such as MaxQuant or IsobarQuant.\nFunctions are provided for data preparation, filtering,\nvariance normalization and imputation of missing values, as\nwell as statistical testing of differentially enriched /\nexpressed proteins. It also includes tools to check\nintermediate steps in the workflow, such as normalization and\nmissing values imputation. Finally, visualization tools are\nprovided to explore the results, including heatmap, volcano\nplot and barplot representations. For scientists with limited\nexperience in R, the package also contains wrapper functions\nthat entail the complete analysis workflow and generate a\nreport. Even easier to use are the interactive Shiny apps that\nare provided by the package.",
  "License": "Artistic-2.0",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "biocViews": "ImmunoOncology, Proteomics, MassSpectrometry,\nDifferentialExpression, DataRepresentation",
  "VignetteBuilder": "knitr",
  "Config/roxygen2/version": "8.1.0",
  "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libpng-dev\nlibuv1-dev libxml2-dev libnetcdf-dev libssl-dev perl libx11-dev\nzlib1g-dev",
  "Repository": "https://biocstaging.r-universe.dev",
  "Date/Publication": "2026-08-21 12:21:23 UTC",
  "RemoteUrl": "https://github.com/BiocStaging/DEP",
  "RemoteRef": "HEAD",
  "RemoteSha": "c83f65987ca9787619c998ef654c07a110e2ec1a",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-09-20 09:30:15 UTC",
    "User": "root"
  },
  "Author": "Jelmer Dijkstra [aut, cre],\nArne Smits [aut],\nWolfgang Huber [aut]",
  "Maintainer": "Jelmer Dijkstra <protechrobioMV@gmail.com>",
  "_user": "biocstaging",
  "_type": "src",
  "_file": "DEP_3.99.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/53846d55d06fbd5dc7e48508399590d2a551a8e060268105b6f483bc92f8def0",
  "_filesize": 3638179,
  "_sha256": "53846d55d06fbd5dc7e48508399590d2a551a8e060268105b6f483bc92f8def0",
  "_expires": "2026-12-29T09:38:26.000Z",
  "_created": "2026-09-20T09:30:15.000Z",
  "_published": "2026-09-20T09:38:28.734Z",
  "_bioccheck": {
    "error": 0,
    "warning": 1,
    "note": 14
  },
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/biocstaging/actions/runs/35502251249",
  "_status": "success",
  "_upstream": "https://github.com/BiocStaging/DEP",
  "_commit": {
    "id": "c83f65987ca9787619c998ef654c07a110e2ec1a",
    "author": "DijkJel <116422590+DijkJel@users.noreply.github.com>",
    "committer": "DijkJel <116422590+DijkJel@users.noreply.github.com>",
    "message": "fixed version\n",
    "time": 1787314883
  },
  "_maintainer": {
    "name": "Jelmer Dijkstra",
    "email": "protechrobiomv@gmail.com",
    "login": "mvlab-hub",
    "description": "",
    "uuid": 312959745
  },
  "_distro": "resolute",
  "_jobs": [
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  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.5.0",
      "role": "Depends"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "dplyr",
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    },
    {
      "package": "purrr",
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    },
    {
      "package": "readr",
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    {
      "package": "tibble",
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    {
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    {
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    },
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    },
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      "package": "ggrepel",
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    {
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    },
    {
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      "package": "grid",
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    },
    {
      "package": "stats",
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    {
      "package": "imputeLCMD",
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    },
    {
      "package": "cluster",
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    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "enrichR",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "BiocStyle",
      "role": "Suggests"
    }
  ],
  "_owner": "biocstaging",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-32",
      "n": 3
    },
    {
      "week": "2026-33",
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    },
    {
      "week": "2026-34",
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  ],
  "_tags": [],
  "_topics": [
    "immunooncology",
    "proteomics",
    "massspectrometry",
    "differentialexpression",
    "datarepresentation"
  ],
  "_stars": 0,
  "_contributors": [
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      "user": "arnesmits",
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    },
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  ],
  "_userbio": {
    "uuid": 278472782,
    "type": "organization",
    "name": "BiocStaging",
    "followers": 2
  },
  "_downloads": {
    "count": 0,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/DEP"
  },
  "_devurl": "https://github.com/biocstaging/dep",
  "_searchresults": 924,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/DEP.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_cranurl": false,
  "_exports": [
    "add_rejections",
    "analyze_dep",
    "filter_missval",
    "filter_proteins",
    "get_df_long",
    "get_df_wide",
    "get_prefix",
    "get_results",
    "get_suffix",
    "import_IsobarQuant",
    "import_MaxQuant",
    "impute",
    "LFQ",
    "make_se",
    "make_se_parse",
    "make_unique",
    "manual_impute",
    "meanSdPlot",
    "normalize_vsn",
    "plot_all",
    "plot_cond",
    "plot_cond_freq",
    "plot_cond_overlap",
    "plot_cor",
    "plot_coverage",
    "plot_detect",
    "plot_dist",
    "plot_frequency",
    "plot_gsea",
    "plot_heatmap",
    "plot_imputation",
    "plot_missval",
    "plot_normalization",
    "plot_numbers",
    "plot_p_hist",
    "plot_pca",
    "plot_single",
    "plot_volcano",
    "process",
    "report",
    "run_app",
    "se2msn",
    "test_diff",
    "test_gsea",
    "theme_DEP1",
    "theme_DEP2",
    "TMT"
  ],
  "_datasets": [
    {
      "name": "DiUbi",
      "title": "DiUbi - Ubiquitin interactors for different diubiquitin-linkages (UbIA-MS dataset)",
      "object": "DiUbi",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Protein.IDs",
        "Majority.protein.IDs",
        "Protein.names",
        "Gene.names",
        "Fasta.headers",
        "Peptides",
        "Razor...unique.peptides",
        "Unique.peptides",
        "iBAQ.control1",
        "iBAQ.control2",
        "iBAQ.control3",
        "iBAQ.K11_1",
        "iBAQ.K11_2",
        "iBAQ.K11_3",
        "iBAQ.K27_1",
        "iBAQ.K27_2",
        "iBAQ.K27_3",
        "iBAQ.K29_1",
        "iBAQ.K29_2",
        "iBAQ.K29_3",
        "iBAQ.K33_1",
        "iBAQ.K33_2",
        "iBAQ.K33_3",
        "iBAQ.K48_1",
        "iBAQ.K48_2",
        "iBAQ.K48_3",
        "iBAQ.K6_1",
        "iBAQ.K6_2",
        "iBAQ.K6_3",
        "iBAQ.K63_1",
        "iBAQ.K63_2",
        "iBAQ.K63_3",
        "iBAQ.linear1",
        "iBAQ.linear2",
        "iBAQ.linear3",
        "iBAQ.mono1",
        "iBAQ.mono2",
        "iBAQ.mono3",
        "LFQ.intensity.control1",
        "LFQ.intensity.control2",
        "LFQ.intensity.control3",
        "LFQ.intensity.K11_1",
        "LFQ.intensity.K11_2",
        "LFQ.intensity.K11_3",
        "LFQ.intensity.K27_1",
        "LFQ.intensity.K27_2",
        "LFQ.intensity.K27_3",
        "LFQ.intensity.K29_1",
        "LFQ.intensity.K29_2",
        "LFQ.intensity.K29_3",
        "LFQ.intensity.K33_1",
        "LFQ.intensity.K33_2",
        "LFQ.intensity.K33_3",
        "LFQ.intensity.K48_1",
        "LFQ.intensity.K48_2",
        "LFQ.intensity.K48_3",
        "LFQ.intensity.K6_1",
        "LFQ.intensity.K6_2",
        "LFQ.intensity.K6_3",
        "LFQ.intensity.K63_1",
        "LFQ.intensity.K63_2",
        "LFQ.intensity.K63_3",
        "LFQ.intensity.linear1",
        "LFQ.intensity.linear2",
        "LFQ.intensity.linear3",
        "LFQ.intensity.mono1",
        "LFQ.intensity.mono2",
        "LFQ.intensity.mono3",
        "Only.identified.by.site",
        "Reverse",
        "Potential.contaminant",
        "id"
      ],
      "rows": 4071,
      "table": true,
      "tojson": true
    },
    {
      "name": "DiUbi_ExpDesign",
      "title": "Experimental design of the DiUbi dataset",
      "object": "DiUbi_ExpDesign",
      "class": [
        "data.frame"
      ],
      "fields": [
        "label",
        "condition",
        "replicate"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "UbiLength",
      "title": "UbiLength - Ubiquitin interactors of different linear ubiquitin lengths (UbIA-MS dataset)",
      "object": "UbiLength",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Protein.IDs",
        "Majority.protein.IDs",
        "Protein.names",
        "Gene.names",
        "Fasta.headers",
        "Peptides",
        "Razor...unique.peptides",
        "Unique.peptides",
        "LFQ.intensity.Ubi4_1",
        "LFQ.intensity.Ubi4_2",
        "LFQ.intensity.Ubi4_3",
        "LFQ.intensity.Ubi6_1",
        "LFQ.intensity.Ubi6_2",
        "LFQ.intensity.Ubi6_3",
        "LFQ.intensity.Ctrl_1",
        "LFQ.intensity.Ctrl_2",
        "LFQ.intensity.Ctrl_3",
        "LFQ.intensity.Ubi1_1",
        "LFQ.intensity.Ubi1_2",
        "LFQ.intensity.Ubi1_3",
        "Only.identified.by.site",
        "Reverse",
        "Potential.contaminant"
      ],
      "rows": 3006,
      "table": true,
      "tojson": true
    },
    {
      "name": "UbiLength_ExpDesign",
      "title": "Experimental design of the UbiLength dataset",
      "object": "UbiLength_ExpDesign",
      "class": [
        "data.frame"
      ],
      "fields": [
        "label",
        "condition",
        "replicate"
      ],
      "rows": 12,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_rejections",
      "title": "Mark significant proteins",
      "topics": [
        "add_rejections"
      ]
    },
    {
      "page": "analyze_dep",
      "title": "Differential expression analysis",
      "topics": [
        "analyze_dep"
      ]
    },
    {
      "page": "DEP",
      "title": "DEP: A package for Differential Enrichment analysis of Proteomics data.",
      "topics": [
        "DEP"
      ]
    },
    {
      "page": "DiUbi",
      "title": "DiUbi - Ubiquitin interactors for different diubiquitin-linkages (UbIA-MS dataset)",
      "topics": [
        "DiUbi"
      ]
    },
    {
      "page": "DiUbi_ExpDesign",
      "title": "Experimental design of the DiUbi dataset",
      "topics": [
        "DiUbi_ExpDesign"
      ]
    },
    {
      "page": "filter_missval",
      "title": "Filter on missing values",
      "topics": [
        "filter_missval"
      ]
    },
    {
      "page": "filter_proteins",
      "title": "Filter proteins based on missing values",
      "topics": [
        "filter_proteins"
      ]
    },
    {
      "page": "get_df_long",
      "title": "Generate a long data.frame from a SummarizedExperiment",
      "topics": [
        "get_df_long"
      ]
    },
    {
      "page": "get_df_wide",
      "title": "Generate a wide data.frame from a SummarizedExperiment",
      "topics": [
        "get_df_wide"
      ]
    },
    {
      "page": "get_prefix",
      "title": "Obtain the longest common prefix",
      "topics": [
        "get_prefix"
      ]
    },
    {
      "page": "get_results",
      "title": "Generate a results table",
      "topics": [
        "get_results"
      ]
    },
    {
      "page": "get_suffix",
      "title": "Obtain the longest common suffix",
      "topics": [
        "get_suffix"
      ]
    },
    {
      "page": "import_IsobarQuant",
      "title": "Import from IsobarQuant",
      "topics": [
        "import_IsobarQuant"
      ]
    },
    {
      "page": "import_MaxQuant",
      "title": "Import from MaxQuant",
      "topics": [
        "import_MaxQuant"
      ]
    },
    {
      "page": "impute",
      "title": "Impute missing values",
      "topics": [
        "impute"
      ]
    },
    {
      "page": "LFQ",
      "title": "LFQ workflow",
      "topics": [
        "LFQ"
      ]
    },
    {
      "page": "make_se",
      "title": "Data.frame to SummarizedExperiment object conversion using an experimental design",
      "topics": [
        "make_se"
      ]
    },
    {
      "page": "make_se_parse",
      "title": "Data.frame to SummarizedExperiment object conversion using parsing from column names",
      "topics": [
        "make_se_parse"
      ]
    },
    {
      "page": "make_unique",
      "title": "Make unique names",
      "topics": [
        "make_unique"
      ]
    },
    {
      "page": "manual_impute",
      "title": "Imputation by random draws from a manually defined distribution",
      "topics": [
        "manual_impute"
      ]
    },
    {
      "page": "meanSdPlot",
      "title": "Plot row standard deviations versus row means",
      "topics": [
        "meanSdPlot"
      ]
    },
    {
      "page": "normalize_vsn",
      "title": "Normalization using vsn",
      "topics": [
        "normalize_vsn"
      ]
    },
    {
      "page": "plot_all",
      "title": "Visualize the results in different types of plots",
      "topics": [
        "plot_all"
      ]
    },
    {
      "page": "plot_cond",
      "title": "Plot frequency of significant conditions per protein and the overlap in proteins between conditions",
      "topics": [
        "plot_cond"
      ]
    },
    {
      "page": "plot_cond_freq",
      "title": "Plot frequency of significant conditions per protein",
      "topics": [
        "plot_cond_freq"
      ]
    },
    {
      "page": "plot_cond_overlap",
      "title": "Plot conditions overlap",
      "topics": [
        "plot_cond_overlap"
      ]
    },
    {
      "page": "plot_cor",
      "title": "Plot correlation matrix",
      "topics": [
        "plot_cor"
      ]
    },
    {
      "page": "plot_coverage",
      "title": "Plot protein coverage",
      "topics": [
        "plot_coverage"
      ]
    },
    {
      "page": "plot_detect",
      "title": "Visualize intensities of proteins with missing values",
      "topics": [
        "plot_detect"
      ]
    },
    {
      "page": "plot_dist",
      "title": "Plot Gower's distance matrix",
      "topics": [
        "plot_dist"
      ]
    },
    {
      "page": "plot_frequency",
      "title": "Plot protein overlap between samples",
      "topics": [
        "plot_frequency"
      ]
    },
    {
      "page": "plot_gsea",
      "title": "Plot enriched Gene Sets",
      "topics": [
        "plot_gsea"
      ]
    },
    {
      "page": "plot_heatmap",
      "title": "Plot a heatmap",
      "topics": [
        "plot_heatmap"
      ]
    },
    {
      "page": "plot_imputation",
      "title": "Visualize imputation",
      "topics": [
        "plot_imputation"
      ]
    },
    {
      "page": "plot_missval",
      "title": "Plot a heatmap of proteins with missing values",
      "topics": [
        "plot_missval"
      ]
    },
    {
      "page": "plot_normalization",
      "title": "Visualize normalization",
      "topics": [
        "plot_normalization"
      ]
    },
    {
      "page": "plot_numbers",
      "title": "Plot protein numbers",
      "topics": [
        "plot_numbers"
      ]
    },
    {
      "page": "plot_p_hist",
      "title": "Plot a P value histogram",
      "topics": [
        "plot_p_hist"
      ]
    },
    {
      "page": "plot_pca",
      "title": "Plot PCA",
      "topics": [
        "plot_pca"
      ]
    },
    {
      "page": "plot_single",
      "title": "Plot values for a protein of interest",
      "topics": [
        "plot_single"
      ]
    },
    {
      "page": "plot_volcano",
      "title": "Volcano plot",
      "topics": [
        "plot_volcano"
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