{
  "_id": "6a103c3cacfb0bcc41c9bdd3",
  "Package": "ISAnalytics",
  "Title": "Analyze gene therapy vector insertion sites data identified from\ngenomics next generation sequencing reads for clonal tracking\nstudies",
  "Version": "1.23.0",
  "Date": "2025-07-21",
  "Authors@R": "c(\nperson(given = \"Francesco\",\nfamily = \"Gazzo\",\nrole = c(\"cre\"),\nemail = \"gazzo.francesco@hsr.it\",\ncomment = c(ORCID = \"0009-0000-4626-1386\")),\nperson(given = \"Giulia\",\nfamily = \"Pais\",\nrole = c(\"aut\"),\nemail = \"giuliapais1@gmail.com\",\ncomment = c(ORCID = \"0009-0005-5621-4803\")),\nperson(given = \"Andrea\",\nfamily = \"Calabria\",\nrole = c(\"aut\"),\nemail = \"calabria.andrea@hsr.it\"),\nperson(given = \"Giulio\",\nfamily = \"Spinozzi\",\nrole = c(\"aut\"),\nemail = \"spinozzi.giulio@hsr.it\"))",
  "Description": "In gene therapy, stem cells are modified using viral\nvectors to deliver the therapeutic transgene and replace\nfunctional properties since the genetic modification is stable\nand inherited in all cell progeny. The retrieval and mapping of\nthe sequences flanking the virus-host DNA junctions allows the\nidentification of insertion sites (IS), essential for\nmonitoring the evolution of genetically modified cells in vivo.\nA comprehensive toolkit for the analysis of IS is required to\nfoster clonal trackign studies and supporting the assessment of\nsafety and long term efficacy in vivo. This package is aimed at\n(1) supporting automation of IS workflow, (2) performing base\nand advance analysis for IS tracking (clonal abundance, clonal\nexpansions and statistics for insertional mutagenesis, etc.),\n(3) providing basic biology insights of transduced stem cells\nin vivo.",
  "License": "CC BY 4.0",
  "URL": "https://calabrialab.github.io/ISAnalytics,\nhttps://github.com//calabrialab/isanalytics,\nhttps://calabrialab.github.io/ISAnalytics/",
  "BugReports": "https://github.com/calabrialab/ISAnalytics/issues",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:53:33 UTC",
  "RemoteUrl": "https://github.com/bioc/ISAnalytics",
  "RemoteRef": "HEAD",
  "RemoteSha": "bdba4b258b3d024f48800f7495dc5bd87df26c89",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-11 10:10:43 UTC",
    "User": "root"
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  "Author": "Francesco Gazzo [cre] (ORCID: <https://orcid.org/0009-0000-4626-1386>),\nGiulia Pais [aut] (ORCID: <https://orcid.org/0009-0005-5621-4803>),\nAndrea Calabria [aut],\nGiulio Spinozzi [aut]",
  "Maintainer": "Francesco Gazzo <gazzo.francesco@hsr.it>",
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  "_published": "2026-05-22T11:21:32.104Z",
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    "source": "https://www.bioconductor.org/packages/stats/bioc/ISAnalytics"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ISAnalytics.html",
    "extra/NEWS.html",
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    "manual.pdf"
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  "_homeurl": "https://github.com/calabrialab/isanalytics",
  "_realowner": "bioc",
  "_cranurl": false,
  "_exports": [
    "aggregate_metadata",
    "aggregate_values_by_key",
    "annotation_IS_vars",
    "annotation_issues",
    "as_sparse_matrix",
    "association_file_columns",
    "available_outlier_tests",
    "available_tags",
    "blood_lineages_default",
    "circos_genomic_density",
    "CIS_grubbs",
    "CIS_grubbs_overtime",
    "CIS_volcano_plot",
    "clinical_relevant_suspicious_genes",
    "comparison_matrix",
    "compute_abundance",
    "compute_near_integrations",
    "cumulative_count_union",
    "cumulative_is",
    "date_formats",
    "default_af_transform",
    "default_iss_file_prefixes",
    "default_meta_agg",
    "default_rec_agg_lambdas",
    "default_report_path",
    "default_stats",
    "enable_progress_bars",
    "export_ISA_settings",
    "fisher_scatterplot",
    "gene_frequency_fisher",
    "generate_blank_association_file",
    "generate_default_folder_structure",
    "generate_Vispa2_launch_AF",
    "HSC_population_plot",
    "HSC_population_size_estimate",
    "import_association_file",
    "import_ISA_settings",
    "import_parallel_Vispa2Matrices",
    "import_parallel_Vispa2Matrices_auto",
    "import_parallel_Vispa2Matrices_interactive",
    "import_single_Vispa2Matrix",
    "import_Vispa2_stats",
    "inspect_tags",
    "integration_alluvial_plot",
    "is_sharing",
    "iss_source",
    "iss_stats_specs",
    "known_clinical_oncogenes",
    "mandatory_IS_vars",
    "matching_options",
    "matrix_file_suffixes",
    "NGSdataExplorer",
    "outlier_filter",
    "outliers_by_pool_fragments",
    "pcr_id_column",
    "purity_filter",
    "quantification_types",
    "realign_after_collisions",
    "reduced_AF_columns",
    "refGene_table_cols",
    "remove_collisions",
    "reset_af_columns_def",
    "reset_annotation_IS_vars",
    "reset_dyn_vars_config",
    "reset_iss_stats_specs",
    "reset_mandatory_IS_vars",
    "reset_matrix_file_suffixes",
    "sample_statistics",
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    "set_mandatory_IS_vars",
    "set_matrix_file_suffixes",
    "sharing_heatmap",
    "sharing_venn",
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    "top_abund_tableGrob",
    "top_cis_overtime_heatmap",
    "top_integrations",
    "top_targeted_genes",
    "transform_columns",
    "unzip_file_system"
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      "name": "association_file",
      "title": "Example of association file.",
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        "data.frame"
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      "title": "Data frames for proto-oncogenes (human and mouse) and tumor-suppressor genes from UniProt.",
      "object": "tumor_suppressors",
      "file": "tumor_suppressors.RData",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Entry",
        "Entry name",
        "Status",
        "Protein names",
        "Gene names",
        "Organism",
        "Length",
        "Gene names  (primary )",
        "Gene names  (synonym )",
        "Organism ID",
        "Sequence",
        "Gene names  (ordered locus )",
        "Gene names  (ORF )"
      ],
      "rows": 523,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "aggregate_metadata",
      "title": "Performs aggregation on metadata contained in the association file.",
      "concept": [
        "Data cleaning and pre-processing"
      ],
      "topics": [
        "aggregate_metadata"
      ]
    },
    {
      "page": "aggregate_values_by_key",
      "title": "Aggregates matrices values based on specified key.",
      "concept": [
        "Data cleaning and pre-processing"
      ],
      "topics": [
        "aggregate_values_by_key"
      ]
    },
    {
      "page": "annotation_issues",
      "title": "Check for genomic annotation problems in IS matrices.",
      "concept": [
        "Import functions helpers"
      ],
      "topics": [
        "annotation_issues"
      ]
    },
    {
      "page": "as_sparse_matrix",
      "title": "Converts tidy integration matrices in the original sparse matrix form.",
      "concept": [
        "Utilities"
      ],
      "topics": [
        "as_sparse_matrix"
      ]
    },
    {
      "page": "association_file",
      "title": "Example of association file.",
      "topics": [
        "association_file"
      ]
    },
    {
      "page": "available_outlier_tests",
      "title": "A character vector containing all the names of the currently supported outliers tests that can be called in the function outlier_filter.",
      "concept": [
        "Outlier tests"
      ],
      "topics": [
        "available_outlier_tests"
      ]
    },
    {
      "page": "available_tags",
      "title": "All available tags for dynamic vars look-up tables.",
      "topics": [
        "available_tags"
      ]
    },
    {
      "page": "blood_lineages_default",
      "title": "Default blood lineages info",
      "topics": [
        "blood_lineages_default"
      ]
    },
    {
      "page": "circos_genomic_density",
      "title": "Trace a circos plot of genomic densities.",
      "concept": [
        "Plotting functions"
      ],
      "topics": [
        "circos_genomic_density"
      ]
    },
    {
      "page": "CIS_grubbs",
      "title": "Grubbs test for Common Insertion Sites (CIS).",
      "concept": [
        "Analysis functions"
      ],
      "topics": [
        "CIS_grubbs"
      ]
    },
    {
      "page": "CIS_grubbs_overtime",
      "title": "Compute CIS and Grubbs test over different time points and groups.",
      "topics": [
        "CIS_grubbs_overtime"
      ]
    },
    {
      "page": "CIS_volcano_plot",
      "title": "Trace volcano plot for computed CIS data.",
      "concept": [
        "Plotting functions"
      ],
      "topics": [
        "CIS_volcano_plot"
      ]
    },
    {
      "page": "clinical_relevant_suspicious_genes",
      "title": "Clinical relevant suspicious genes (for mouse and human).",
      "concept": [
        "Plotting function helpers"
      ],
      "topics": [
        "clinical_relevant_suspicious_genes"
      ]
    },
    {
      "page": "comparison_matrix",
      "title": "Obtain a single integration matrix from individual quantification matrices.",
      "concept": [
        "Utilities"
      ],
      "topics": [
        "comparison_matrix"
      ]
    },
    {
      "page": "compute_abundance",
      "title": "Computes the abundance for every integration event in the input data frame.",
      "concept": [
        "Analysis functions"
      ],
      "topics": [
        "compute_abundance"
      ]
    },
    {
      "page": "compute_near_integrations",
      "title": "Scans input matrix to find and merge near integration sites.",
      "concept": [
        "Data cleaning and pre-processing"
      ],
      "topics": [
        "compute_near_integrations"
      ]
    },
    {
      "page": "cumulative_is",
      "title": "Expands integration matrix with the cumulative IS union over time.",
      "concept": [
        "Analysis functions"
      ],
      "topics": [
        "cumulative_is"
      ]
    },
    {
      "page": "date_formats",
      "title": "Possible choices for the 'dates_format' parameter in 'import_association_file', 'import_parallel_vispa2Matrices_interactive' and 'import_parallel_vispa2Matrices_auto'.",
      "concept": [
        "Import functions helpers"
      ],
      "topics": [
        "date_formats"
      ]
    },
    {
      "page": "default_af_transform",
      "title": "Default transformations to apply to association file columns.",
      "concept": [
        "Import functions helpers"
      ],
      "topics": [
        "default_af_transform"
      ]
    },
    {
      "page": "default_iss_file_prefixes",
      "title": "Default regex prefixes for Vispa2 stats files.",
      "concept": [
        "Import functions helpers"
      ],
      "topics": [
        "default_iss_file_prefixes"
      ]
    },
    {
      "page": "default_meta_agg",
      "title": "Default metadata aggregation function table",
      "concept": [
        "Data cleaning and pre-processing"
      ],
      "topics": [
        "default_meta_agg"
      ]
    },
    {
      "page": "default_rec_agg_lambdas",
      "title": "Defaults for column aggregations in 'compute_near_integrations()'.",
      "topics": [
        "default_rec_agg_lambdas"
      ]
    },
    {
      "page": "default_report_path",
      "title": "Default folder for saving ISAnalytics reports. Supplied as default argument for several functions.",
      "topics": [
        "default_report_path"
      ]
    },
    {
      "page": "default_stats",
      "title": "A set of pre-defined functions for 'sample_statistics'.",
      "concept": [
        "Analysis functions helpers"
      ],
      "topics": [
        "default_stats"
      ]
    },
    {
      "page": "enable_progress_bars",
      "title": "Enable global progress bars for ISAnalytics functions.",
      "concept": [
        "Utilities"
      ],
      "topics": [
        "enable_progress_bars"
      ]
    },
    {
      "page": "export_ISA_settings",
      "title": "Export a dynamic vars settings profile.",
      "concept": [
        "Utilities"
      ],
      "topics": [
        "export_ISA_settings"
      ]
    },
    {
      "page": "fisher_scatterplot",
      "title": "Plot results of gene frequency Fisher's exact test.",
      "concept": [
        "Plotting functions"
      ],
      "topics": [
        "fisher_scatterplot"
      ]
    },
    {
      "page": "gene_frequency_fisher",
      "title": "Compute Fisher's exact test on gene frequencies.",
      "concept": [
        "Analysis functions"
      ],
      "topics": [
        "gene_frequency_fisher"
      ]
    },
    {
      "page": "generate_blank_association_file",
      "title": "Create a blank association file.",
      "concept": [
        "Utilities"
      ],
      "topics": [
        "generate_blank_association_file"
      ]
    },
    {
      "page": "generate_default_folder_structure",
      "title": "Generate a default folder structure, following VISPA2 standards",
      "concept": [
        "Utilities"
      ],
      "topics": [
        "generate_default_folder_structure"
      ]
    },
    {
      "page": "generate_Vispa2_launch_AF",
      "title": "Creates a reduced association file for a VISPA2 run, given project and pool",
      "concept": [
        "Utilities"
      ],
      "topics": [
        "generate_Vispa2_launch_AF"
      ]
    },
    {
      "page": "HSC_population_plot",
      "title": "Plot of the estimated HSC population size for each patient.",
      "concept": [
        "Plotting functions"
      ],
      "topics": [
        "HSC_population_plot"
      ]
    },
    {
      "page": "HSC_population_size_estimate",
      "title": "Hematopoietic stem cells population size estimate.",
      "concept": [
        "Analysis functions"
      ],
      "topics": [
        "HSC_population_size_estimate"
      ]
    },
    {
      "page": "import_association_file",
      "title": "Import the association file from disk",
      "concept": [
        "Import functions"
      ],
      "topics": [
        "import_association_file"
      ]
    },
    {
      "page": "import_ISA_settings",
      "title": "Import a dynamic vars settings profile.",
      "concept": [
        "Utilities"
      ],
      "topics": [
        "import_ISA_settings"
      ]
    },
    {
      "page": "import_parallel_Vispa2Matrices",
      "title": "Import integration matrices from paths in the association file.",
      "concept": [
        "Import functions"
      ],
      "topics": [
        "import_parallel_Vispa2Matrices"
      ]
    },
    {
      "page": "import_single_Vispa2Matrix",
      "title": "Import a single integration matrix from file",
      "concept": [
        "Import functions"
      ],
      "topics": [
        "import_single_Vispa2Matrix"
      ]
    },
    {
      "page": "import_Vispa2_stats",
      "title": "Import Vispa2 stats given the aligned association file.",
      "concept": [
        "Import functions"
      ],
      "topics": [
        "import_Vispa2_stats"
      ]
    },
    {
      "page": "inspect_tags",
      "title": "Retrieve description of a tag by name.",
      "concept": [
        "dynamic vars"
      ],
      "topics": [
        "inspect_tags"
      ]
    },
    {
      "page": "integration_alluvial_plot",
      "title": "Alluvial plots for IS distribution in time.",
      "concept": [
        "Plotting functions"
      ],
      "topics": [
        "integration_alluvial_plot"
      ]
    },
    {
      "page": "integration_matrices",
      "title": "Example of imported multi-quantification integration matrices.",
      "topics": [
        "integration_matrices"
      ]
    },
    {
      "page": "is_sharing",
      "title": "Sharing of integration sites between given groups.",
      "concept": [
        "Analysis functions"
      ],
      "topics": [
        "is_sharing"
      ]
    },
    {
      "page": "iss_source",
      "title": "Find the source of IS by evaluating sharing.",
      "concept": [
        "Analysis functions"
      ],
      "topics": [
        "iss_source"
      ]
    },
    {
      "page": "known_clinical_oncogenes",
      "title": "Known clinical oncogenes (for mouse and human).",
      "concept": [
        "Plotting function helpers"
      ],
      "topics": [
        "known_clinical_oncogenes"
      ]
    },
    {
      "page": "mandatory_IS_vars",
      "title": "Current dynamic vars specifications getters.",
      "concept": [
        "dynamic vars"
      ],
      "topics": [
        "annotation_IS_vars",
        "association_file_columns",
        "iss_stats_specs",
        "mandatory_IS_vars",
        "matrix_file_suffixes",
        "vars_getters"
      ]
    },
    {
      "page": "matching_options",
      "title": "Possible choices for the 'matching_opt' parameter.",
      "concept": [
        "Import functions helpers"
      ],
      "topics": [
        "matching_options"
      ]
    },
    {
      "page": "NGSdataExplorer",
      "title": "Launch the shiny application NGSdataExplorer.",
      "topics": [
        "NGSdataExplorer"
      ]
    },
    {
      "page": "outlier_filter",
      "title": "Filter out outliers in metadata, identified by the chosen outlier test.",
      "concept": [
        "Data cleaning and pre-processing"
      ],
      "topics": [
        "outlier_filter"
      ]
    },
    {
      "page": "outliers_by_pool_fragments",
      "title": "Identify and flag outliers based on pool fragments.",
      "concept": [
        "Data cleaning and pre-processing"
      ],
      "topics": [
        "outliers_by_pool_fragments"
      ]
    },
    {
      "page": "pcr_id_column",
      "title": "Easily retrieve the name of the pcr id column.",
      "concept": [
        "dynamic vars"
      ],
      "topics": [
        "pcr_id_column"
      ]
    },
    {
      "page": "proto_oncogenes",
      "title": "Data frames for proto-oncogenes (human and mouse) and tumor-suppressor genes from UniProt.",
      "topics": [
        "proto_oncogenes",
        "tumor_suppressors"
      ]
    },
    {
      "page": "purity_filter",
      "title": "Filter integration sites based on purity.",
      "concept": [
        "Data cleaning and pre-processing"
      ],
      "topics": [
        "purity_filter"
      ]
    },
    {
      "page": "quantification_types",
      "title": "Possible choices for the 'quantification_type' parameter.",
      "concept": [
        "Import functions helpers"
      ],
      "topics": [
        "quantification_types"
      ]
    },
    {
      "page": "realign_after_collisions",
      "title": "Re-aligns matrices of other quantification types based on the processed sequence count matrix.",
      "concept": [
        "Data cleaning and pre-processing"
      ],
      "topics": [
        "realign_after_collisions"
      ]
    },
    {
      "page": "reduced_AF_columns",
      "title": "Names of the columns of the association file to consider for Vispa2 launch.",
      "topics": [
        "reduced_AF_columns"
      ]
    },
    {
      "page": "refGene_table_cols",
      "title": "Required columns for refGene file.",
      "topics": [
        "refGene_table_cols"
      ]
    },
    {
      "page": "refGenes_hg19",
      "title": "Gene annotation files for hg19, mm9.",
      "topics": [
        "refGenes_hg19",
        "refGenes_mm9"
      ]
    },
    {
      "page": "refGenes_hg38",
      "title": "Reference gene annotation for hg38 or mm10.",
      "topics": [
        "refGenes_hg38",
        "refGenes_mm10"
      ]
    },
    {
      "page": "remove_collisions",
      "title": "Identifies and removes collisions.",
      "concept": [
        "Data cleaning and pre-processing"
      ],
      "topics": [
        "remove_collisions"
      ]
    },
    {
      "page": "reset_mandatory_IS_vars",
      "title": "Resets dynamic vars to the default values.",
      "concept": [
        "dynamic vars"
      ],
      "topics": [
        "reset_af_columns_def",
        "reset_annotation_IS_vars",
        "reset_dyn_vars_config",
        "reset_iss_stats_specs",
        "reset_mandatory_IS_vars",
        "reset_matrix_file_suffixes",
        "vars_resetters"
      ]
    },
    {
      "page": "sample_statistics",
      "title": "Computes user specified functions on numerical columns and updates the metadata data frame accordingly.",
      "concept": [
        "Analysis functions"
      ],
      "topics": [
        "sample_statistics"
      ]
    },
    {
      "page": "separate_quant_matrices",
      "title": "Separate a multiple-quantification matrix into single quantification matrices.",
      "concept": [
        "Utilities"
      ],
      "topics": [
        "separate_quant_matrices"
      ]
    },
    {
      "page": "set_mandatory_IS_vars",
      "title": "Define custom dynamic vars.",
      "concept": [
        "dynamic vars"
      ],
      "topics": [
        "set_af_columns_def",
        "set_annotation_IS_vars",
        "set_iss_stats_specs",
        "set_mandatory_IS_vars",
        "vars_setters"
      ]
    },
    {
      "page": "set_matrix_file_suffixes",
      "title": "Sets the look-up table for matrix file suffixes.",
      "concept": [
        "dynamic vars"
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      "topics": [
        "set_matrix_file_suffixes"
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    },
    {
      "page": "sharing_heatmap",
      "title": "Plot IS sharing heatmaps.",
      "concept": [
        "Plotting functions"
      ],
      "topics": [
        "sharing_heatmap"
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    },
    {
      "page": "sharing_venn",
      "title": "Produce tables to plot sharing venn or euler diagrams.",
      "concept": [
        "Plotting functions"
      ],
      "topics": [
        "sharing_venn"
      ]
    },
    {
      "page": "top_abund_tableGrob",
      "title": "Summary top abundant tableGrobs for plots.",
      "concept": [
        "Plotting functions"
      ],
      "topics": [
        "top_abund_tableGrob"
      ]
    },
    {
      "page": "top_cis_overtime_heatmap",
      "title": "Heatmaps for the top N common insertion sites over time.",
      "concept": [
        "Plotting functions"
      ],
      "topics": [
        "top_cis_overtime_heatmap"
      ]
    },
    {
      "page": "top_integrations",
      "title": "Sorts and keeps the top n integration sites based on the values in a given column.",
      "concept": [
        "Analysis functions"
      ],
      "topics": [
        "top_integrations"
      ]
    },
    {
      "page": "top_targeted_genes",
      "title": "Top n targeted genes based on number of IS.",
      "concept": [
        "Analysis functions"
      ],
      "topics": [
        "top_targeted_genes"
      ]
    },
    {
      "page": "transform_columns",
      "title": "Apply transformations to an arbitrary number of columns.",
      "concept": [
        "Utilities"
      ],
      "topics": [
        "transform_columns"
      ]
    }
  ],
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      "source": "ISAnalytics.Rmd",
      "filename": "ISAnalytics.html",
      "title": "Getting started with ISAnalytics",
      "author": "Giulia Pais",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Installation and options",
        "Installation from bioconductor",
        "Installation from GitHub",
        "Setting options",
        "Setting up the workflow",
        "The first steps",
        "Data cleaning and pre-processing",
        "Answering biological questions",
        "Working with other kinds of data",
        "Using the Shiny interface",
        "Ensuring reproducibility of results",
        "Browse documentation online and keep updated",
        "Problems?",
        "Reproducibility",
        "Bibliography"
      ],
      "created": "2022-04-20 19:09:10",
      "modified": "2025-07-21 07:54:32",
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    {
      "source": "workflow_start.Rmd",
      "filename": "workflow_start.html",
      "title": "Setting up the workflow and first steps",
      "author": "Giulia Pais",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Setting up your workflow with dynamic vars",
        "General approach",
        "Tags",
        "Mandatory IS vars",
        "Annotation IS vars",
        "Association file columns",
        "VISPA2 stats specs",
        "Customizing dynamic vars",
        "FAQs",
        "Do I have to do this every time the package loads?",
        "Reporting progress",
        "Introduction to ISAnalytics import functions family",
        "Designed to work with VISPA2 pipeline",
        "File system structure generated",
        "Notation",
        "Importing metadata",
        "Function arguments",
        "Importing VISPA2 stats files",
        "Importing a single integration matrix",
        "Automated integration matrices import",
        "association_file argument",
        "quantification_type argument",
        "matrix_type argument",
        "workers argument",
        "multi_quant_matrix argument",
        "report_path argument",
        "mode argument",
        "patterns argument",
        "matching_opt argument",
        "... argument",
        "Notes",
        "Data cleaning and pre-processing",
        "Removing collisions",
        "What is a collision and why should you care?",
        "The logic behind the function",
        "Identifying the collisions",
        "Re-assign vs remove",
        "Usage",
        "Re-align other matrices",
        "Performing data and metadata aggregation",
        "Aggregating metadata",
        "Typical workflow",
        "Aggregation of values by key",
        "Changing parameters to obtain different results",
        "Analysis use-case example: shared integration sites",
        "Automated sharing counts",
        "SCENARIO 1: single input data frame and single grouping key",
        "Changing the number of comparisons",
        "A case when it is useful to set minimal = FALSE",
        "SCENARIO 2: single input data frame and multiple grouping keys",
        "SCENARIO 3: multiple input data frame and single grouping key",
        "SCENARIO 4: multiple input data frame and multiple grouping keys",
        "Plotting sharing results",
        "Reproducibility",
        "Bibliography"
      ],
      "created": "2022-04-21 09:37:58",
      "modified": "2023-04-04 09:42:53",
      "commits": 9
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