{
  "_id": "6a1ac6ac1d7bb097a09dbb31",
  "Type": "Package",
  "Package": "MotifPeeker",
  "Title": "Benchmarking Epigenomic Profiling Methods Using Motif Enrichment",
  "Version": "1.5.0",
  "Authors@R": "c( \nperson(given = \"Hiranyamaya\",\nfamily = \"Dash\",\nrole = c(\"cre\", \"aut\"),\nemail = \"hdash.work@gmail.com\",\ncomment = c(ORCID = \"0009-0005-5514-505X\")),\nperson(given = \"Thomas\",\nfamily = \"Roberts\",\nrole = c(\"aut\"),\nemail = \"tomroberts.work15@gmail.com\",\ncomment = c(ORCID = \"0009-0006-6244-8670\")),\nperson(given = \"Maria\",\nfamily = \"Weinert\",\nrole = c(\"aut\"),\nemail = \"m.weinert13@imperial.ac.uk\",\ncomment = c(ORCID = \"0000-0001-6187-1000\")),\nperson(given = \"Nathan\",\nfamily = \"Skene\",\nrole = c(\"aut\"),\nemail = \"nathan.skene@gmail.com\",\ncomment = c(ORCID = \"0000-0002-6807-3180\"))\n)",
  "Description": "MotifPeeker is used to compare and analyse datasets from\nepigenomic profiling methods with motif enrichment as the key\nbenchmark.  The package outputs an HTML report consisting of\nthree sections: (1. General Metrics) Overview of peaks-related\ngeneral metrics for the datasets (FRiP scores, peak widths and\nmotif-summit distances).  (2. Known Motif Enrichment Analysis)\nStatistics for the frequency of user-provided motifs enriched\nin the datasets.  (3. Motif Discovery Enrichment Analysis)\nStatistics for the frequency of ab-initio discovered motifs\nenriched in the datasets and compared with known motifs.",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/neurogenomics/MotifPeeker",
  "BugReports": "https://github.com/neurogenomics/MotifPeeker/issues",
  "VignetteBuilder": "knitr",
  "biocViews": "Epigenetics, Genetics, QualityControl, ChIPSeq,\nMultipleComparison, FunctionalGenomics, MotifDiscovery,\nSequenceMatching, Software, Alignment",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 13:04:04 UTC",
  "RemoteUrl": "https://github.com/bioc/MotifPeeker",
  "RemoteRef": "HEAD",
  "RemoteSha": "09c90284ea108f5140188ec4f291ead5d30c62a2",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-30 07:44:07 UTC",
    "User": "root"
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  "Author": "Hiranyamaya Dash [cre, aut] (ORCID:\n<https://orcid.org/0009-0005-5514-505X>),\nThomas Roberts [aut] (ORCID: <https://orcid.org/0009-0006-6244-8670>),\nMaria Weinert [aut] (ORCID: <https://orcid.org/0000-0001-6187-1000>),\nNathan Skene [aut] (ORCID: <https://orcid.org/0000-0002-6807-3180>)",
  "Maintainer": "Hiranyamaya Dash <hdash.work@gmail.com>",
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  "_type": "src",
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  "_created": "2026-05-30T07:44:07.000Z",
  "_published": "2026-05-30T11:14:52.270Z",
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    "login": "hdash",
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    "genetics",
    "qualitycontrol",
    "chipseq",
    "multiplecomparison",
    "functionalgenomics",
    "motifdiscovery",
    "sequencematching",
    "software",
    "alignment",
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    "chip-seq",
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    "source": "https://www.bioconductor.org/packages/stats/bioc/MotifPeeker"
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  "_homeurl": "https://github.com/neurogenomics/motifpeeker",
  "_realowner": "bioc",
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  "_exports": [
    "%>%",
    "bootstrap_distances",
    "calc_frip",
    "check_ENCODE",
    "check_genome_build",
    "check_JASPAR",
    "denovo_motifs",
    "find_motifs",
    "get_df_distances",
    "get_df_distances_bootstrapped",
    "get_df_enrichment",
    "get_JASPARCORE",
    "motif_enrichment",
    "motif_similarity",
    "MotifPeeker",
    "read_motif_file",
    "read_peak_file",
    "save_peak_file",
    "segregate_seqs",
    "summit_to_motif"
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  "_datasets": [
    {
      "name": "CTCF_ChIP_peaks",
      "title": "Example ChIP-seq peak file",
      "object": "CTCF_ChIP_peaks",
      "file": "CTCF_ChIP_peaks.rda",
      "class": [
        "GRanges"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "CTCF_TIP_peaks",
      "title": "Example TIP-seq peak file",
      "object": "CTCF_TIP_peaks",
      "file": "CTCF_TIP_peaks.rda",
      "class": [
        "GRanges"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "motif_MA1102.3",
      "title": "Example CTCFL JASPAR motif file",
      "object": "motif_MA1102.3",
      "file": "motif_MA1102.3.rda",
      "class": [
        "universalmotif"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "motif_MA1930.2",
      "title": "Example CTCF JASPAR motif file",
      "object": "motif_MA1930.2",
      "file": "motif_MA1930.2.rda",
      "class": [
        "universalmotif"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
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  "_help": [
    {
      "page": "bootstrap_distances",
      "title": "Bootstrap motif-summit distances for one set of peaks and one motif",
      "topics": [
        "bootstrap_distances"
      ]
    },
    {
      "page": "calc_frip",
      "title": "Calculate FRiP score",
      "topics": [
        "calc_frip"
      ]
    },
    {
      "page": "check_ENCODE",
      "title": "Check for ENCODE input",
      "topics": [
        "check_ENCODE"
      ]
    },
    {
      "page": "check_genome_build",
      "title": "Check genome build",
      "topics": [
        "check_genome_build"
      ]
    },
    {
      "page": "check_JASPAR",
      "title": "Check for JASPAR input",
      "topics": [
        "check_JASPAR"
      ]
    },
    {
      "page": "CTCF_ChIP_peaks",
      "title": "Example ChIP-seq peak file",
      "topics": [
        "CTCF_ChIP_peaks"
      ]
    },
    {
      "page": "CTCF_TIP_peaks",
      "title": "Example TIP-seq peak file",
      "topics": [
        "CTCF_TIP_peaks"
      ]
    },
    {
      "page": "denovo_motifs",
      "title": "Discover motifs in sequences",
      "topics": [
        "denovo_motifs"
      ]
    },
    {
      "page": "find_motifs",
      "title": "Find similar motifs",
      "topics": [
        "find_motifs"
      ]
    },
    {
      "page": "get_df_distances",
      "title": "Get dataframe with motif-summit distances",
      "concept": [
        "generate data.frames"
      ],
      "topics": [
        "get_df_distances"
      ]
    },
    {
      "page": "get_df_distances_bootstrapped",
      "title": "Get dataframe with bootstrapped motif-summit distances",
      "concept": [
        "generate data.frames"
      ],
      "topics": [
        "get_df_distances_bootstrapped"
      ]
    },
    {
      "page": "get_df_enrichment",
      "title": "Get dataframe with motif enrichment values",
      "concept": [
        "generate data.frames"
      ],
      "topics": [
        "get_df_enrichment"
      ]
    },
    {
      "page": "get_JASPARCORE",
      "title": "Download JASPAR CORE database",
      "topics": [
        "get_JASPARCORE"
      ]
    },
    {
      "page": "motif_enrichment",
      "title": "Calculate motif enrichment in a set of sequences",
      "topics": [
        "motif_enrichment"
      ]
    },
    {
      "page": "motif_MA1102.3",
      "title": "Example CTCFL JASPAR motif file",
      "topics": [
        "motif_MA1102.3"
      ]
    },
    {
      "page": "motif_MA1930.2",
      "title": "Example CTCF JASPAR motif file",
      "topics": [
        "motif_MA1930.2"
      ]
    },
    {
      "page": "motif_similarity",
      "title": "Compare motifs from segregated sequences",
      "topics": [
        "motif_similarity"
      ]
    },
    {
      "page": "MotifPeeker",
      "title": "Benchmark epigenomic profiling methods using motif enrichment",
      "topics": [
        "MotifPeeker"
      ]
    },
    {
      "page": "read_motif_file",
      "title": "Read a motif file",
      "topics": [
        "read_motif_file"
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    },
    {
      "page": "read_peak_file",
      "title": "Read MACS2/3 narrowPeak or SEACR BED peak file",
      "topics": [
        "read_peak_file"
      ]
    },
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      "page": "save_peak_file",
      "title": "Minimally save a peak object to a file (BED4)",
      "topics": [
        "save_peak_file"
      ]
    },
    {
      "page": "segregate_seqs",
      "title": "Segregate input sequences into common and unique groups",
      "topics": [
        "segregate_seqs"
      ]
    },
    {
      "page": "summit_to_motif",
      "title": "Calculate the distance between peak summits and motifs",
      "topics": [
        "summit_to_motif"
      ]
    }
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