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  "Package": "gimap",
  "Title": "Calculate Genetic Interactions for Paired CRISPR Targets",
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  "Authors@R": "c(\nperson(\"Candace\", \"Savonen\",\nemail = c(\"cansav09@gmail.com\",\"csavonen@fredhutch.org\"), role = c(\"aut\", \"cre\")),\nperson(\"Phoebe\", \"Parrish\",\nemail = \"pcrparrish@gmail.com\", role = c(\"aut\")),\nperson(\"Kate\", \"Isaac\",\nemail = \"kisaac@fredhutch.org\", role = c(\"aut\")),\nperson(\"Howard\", \"Baek\",\nemail = \"howardbaek.fh@gmail.com\", role = c(\"aut\")),\nperson(\"Daniel\", \"Grosso\", role = c(\"aut\")),\nperson(\"Siobhan\", \"O'Brien\", role = c(\"aut\")),\nperson(\"Alice\", \"Berger\", role = c(\"aut\")))",
  "Author": "Candace Savonen [aut, cre], Phoebe Parrish [aut], Kate Isaac\n[aut], Howard Baek [aut], Daniel Grosso [aut], Siobhan O'Brien\n[aut], Alice Berger [aut]",
  "Maintainer": "Candace Savonen <cansav09@gmail.com>",
  "Description": "Helps find meaningful patterns in complex genetic\nexperiments. First gimap takes data from paired CRISPR\n(Clustered regularly interspaced short palindromic repeats)\nscreens that has been pre-processed to counts table of paired\ngRNA (guide Ribonucleic Acid) reads. The input data will have\ncell counts for how well cells grow (or don't grow) when\ndifferent genes or pairs of genes are disabled. The output of\nthe 'gimap' package is genetic interaction scores which are the\ndistance between the observed CRISPR score and the expected\nCRISPR score. The expected CRISPR scores are what we expect for\nthe CRISPR values to be for two unrelated genes. The further\naway an observed CRISPR score is from its expected score the\nmore we suspect genetic interaction. The work in this package\nis based off of original research from the Alice Berger lab at\nFred Hutchinson Cancer Center (2021)\n<doi:10.1016/j.celrep.2021.109597>.",
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    "qc_cor_heatmap",
    "qc_filter_plasmid",
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    "qc_sample_hist",
    "qc_variance_hist",
    "run_qc",
    "save_example_timepoint_data",
    "save_example_treatment_data",
    "setup_data",
    "supported_cell_lines"
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      "page": "calc_gi",
      "title": "Calculate Genetic Interaction scores",
      "topics": [
        "calc_gi"
      ]
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      "page": "cn_setup",
      "title": "Download and set up DepMap CN",
      "topics": [
        "cn_setup"
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    },
    {
      "page": "ctrl_genes",
      "title": "Download and set up control genes",
      "topics": [
        "ctrl_genes"
      ]
    },
    {
      "page": "delete_annotation",
      "title": "Refresh the annotation files by redownloading them",
      "topics": [
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    },
    {
      "page": "delete_example_data",
      "title": "Delete cached Figshare example files",
      "topics": [
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      ]
    },
    {
      "page": "encrypt_creds_path",
      "title": "Default creds path",
      "topics": [
        "encrypt_creds_path"
      ]
    },
    {
      "page": "example_data_folder",
      "title": "Folder used for Figshare example data",
      "topics": [
        "example_data_folder"
      ]
    },
    {
      "page": "get_example_data",
      "title": "Returns example data for package",
      "topics": [
        "get_example_data"
      ]
    },
    {
      "page": "get_figshare",
      "title": "Handler function for GET requests from Figshare",
      "topics": [
        "get_figshare"
      ]
    },
    {
      "page": "gimap_annotate",
      "title": "Annotate gimap data",
      "topics": [
        "gimap_annotate"
      ]
    },
    {
      "page": "gimap_filter",
      "title": "A function to run filtering",
      "topics": [
        "gimap_filter"
      ]
    },
    {
      "page": "gimap_normalize",
      "title": "Normalize Log fold changes",
      "topics": [
        "gimap_normalize"
      ]
    },
    {
      "page": "gimap_object",
      "title": "Make an empty gimap dataset object",
      "topics": [
        "gimap_object"
      ]
    },
    {
      "page": "gimap_stats",
      "title": "Do tests -an internal function used by calc_gi() function",
      "topics": [
        "gimap_stats"
      ]
    },
    {
      "page": "key_encrypt_creds_path",
      "title": "Get file path to an key encryption RDS",
      "topics": [
        "key_encrypt_creds_path"
      ]
    },
    {
      "page": "plot_crispr",
      "title": "Plot CRISPR scores after normalization",
      "topics": [
        "plot_crispr"
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    },
    {
      "page": "plot_exp_v_obs_scatter",
      "title": "Expected vs Observed CRISPR Scatterplot",
      "topics": [
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    },
    {
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      "title": "Rank plot for target-level GI scores",
      "topics": [
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      "page": "plot_targets",
      "title": "Target bar plot for CRISPR scores",
      "topics": [
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    },
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      "title": "Standardized plot theme",
      "topics": [
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      "topics": [
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      "topics": [
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    },
    {
      "page": "qc_constructs_countzero_bar",
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      ]
    },
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      "page": "qc_cor_heatmap",
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      "topics": [
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    },
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      "topics": [
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      ]
    },
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      "page": "qc_filter_zerocounts",
      "title": "Filter out samples of zero counts Create a filter for pgRNAs which have a raw count of 0 for any sample/time # point",
      "topics": [
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    },
    {
      "page": "qc_plasmid_histogram",
      "title": "Create a histogram with plasmid log2 CPM values and ascertain a cutoff for low values",
      "topics": [
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      "page": "qc_sample_hist",
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      "topics": [
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      "topics": [
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      "title": "Run Quality Control Checks",
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