{ "_id": "6abe705e99f7aa8c6aa5699c", "Package": "gDRplots", "Title": "'gDRplots'", "Version": "0.99.3", "Date": "2026-10-01", "Authors@R": "c(\nperson(\"Marc\", \"Hafner\", role=c(\"aut\"), comment = c(ORCID = \"0000-0003-1337-7598\")),\nperson(\"Janina\", \"Smola\", role = \"aut\"),\nperson(\"Bartosz\", \"Czech\", role = \"aut\", comment = c(ORCID = \"0000-0002-9908-3007\")),\nperson(\"Dariusz\", \"Scigocki\", role = \"aut\"),\nperson(\"Arkadiusz\", \"Gladki\", role=c(\"aut\", \"cre\"), email=\"gladki.arkadiusz@gmail.com\",\ncomment = c(ORCID = \"0000-0002-7059-6378\"))\n)", "Description": "gDRplots provides static visualization functions and\ndedicated helpers for the gDR drug response platform. Designed\nfor high-throughput screening (HTS), pharmacogenomics, and\nchemical genomics research, it enables comprehensive analysis\nof single-agent, co-dilution, and drug combination cell\nviability assays. The package supports quality control (plate\nlayouts, control mapping), data normalization inspection,\ndose-response curves, distribution boxplots, drug synergy\nheatmaps with overlaid isobolograms, and combination index\nplots. Additionally, it integrates with PRISM and DepMap\ndatasets to generate volcano plots and correlation scatter\nplots for molecular feature associations.", "License": "Artistic-2.0", "biocViews": "Software, Visualization, QualityControl, Normalization,\nCellBasedAssays, Pharmacogenomics, MicrotitrePlateAssay", "VignetteBuilder": "knitr", "URL": "https://github.com/gdrplatform/gDRplots,\nhttps://gdrplatform.github.io/gDRplots/", "BugReports": "https://github.com/gdrplatform/gDRplots/issues", "Encoding": "UTF-8", "LazyLoad": "yes", "Config/roxygen2/version": "8.0.0", "RoxygenNote": "7.3.1", "Config/pak/sysreqs": "cmake make libicu-dev libjpeg-dev libpng-dev\nlibuv1-dev libxml2-dev libssl-dev libnode-dev zlib1g-dev", "Repository": "https://biocstaging.r-universe.dev", "Date/Publication": "2026-10-01 11:31:46 UTC", "RemoteUrl": "https://github.com/BiocStaging/gDRplots", "RemoteRef": "HEAD", "RemoteSha": "04d0c5c7aabf56091916b0d4077dfb9b73762499", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-01 13:42:56 UTC", "User": "root" }, "Author": "Marc Hafner [aut] (ORCID: ),\nJanina Smola [aut],\nBartosz Czech [aut] (ORCID: ),\nDariusz Scigocki [aut],\nArkadiusz Gladki [aut, cre] (ORCID:\n)", "Maintainer": "Arkadiusz Gladki ", "_user": "biocstaging", "_type": "src", "_file": "gDRplots_0.99.3.tar.gz", "_fileid": "https://r2.ropensci.org/a4250c75caf9a2ee49093c6bb49a2be2e6d3058374475461978e50732e62044f", "_filesize": 5898119, "_sha256": "a4250c75caf9a2ee49093c6bb49a2be2e6d3058374475461978e50732e62044f", "_expires": "2027-01-09T14:38:19.000Z", "_created": "2026-10-01T13:42:56.000Z", "_published": "2026-10-01T19:45:35.716Z", "_bioccheck": { "error": 0, "warning": 1, "note": 5 }, "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/biocstaging/actions/runs/36869879977", "_status": "success", "_upstream": "https://github.com/BiocStaging/gDRplots", "_commit": { "id": "04d0c5c7aabf56091916b0d4077dfb9b73762499", "author": "Arek Gladki <41166437+gladkia@users.noreply.github.com>", "committer": "GitHub ", "message": "Merge pull request #18 from gdrplatform/GDR-3507\n\nfix: make DepMap-based examples conditional on the example data", "time": 1790854306 }, "_maintainer": { "name": "Arkadiusz Gladki", "email": "gladki.arkadiusz@gmail.com", "login": "gladkia", "linkedin": "in/arkadiusz-gladki-55b94735", "orcid": "0000-0002-7059-6378", "twitter": "@biosmooth", "description": "", "uuid": 41166437 }, "_distro": "resolute", "_jobs": [ { "job": 110397727758, "time": 226, "config": "bioc-checks", "r": "4.6.1", "check": "WARNING", "artifact": "11166489353" }, { "job": 110397728131, "time": 748, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11167561528" }, { "job": 110397727819, "time": 697, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11167726003" }, { "job": 110397727824, "time": 771, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11168745825" 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"Analyze Chemical Genomics (CGS) Data and Perform GSEA", "topics": [ "analyze_cgs" ] }, { "page": "compute_distances", "title": "Compute distance between rows of a matrix.", "topics": [ "compute_distances" ] }, { "page": "create_log_seq", "title": "create a log-sequence", "topics": [ "create_log_seq" ] }, { "page": "create_PRISM_plot_list_combo", "title": "Create a nested list of plots for PRISM data with combo metrics", "topics": [ "create_PRISM_plot_list_combo" ] }, { "page": "create_PRISM_plot_list_sa", "title": "Create a nested list of plots for PRISM data with single-agent metrics", "topics": [ "create_PRISM_plot_list_sa" ] }, { "page": "create_PRISM_summary_list", "title": "Create a list of PRISM association table", "topics": [ "create_PRISM_summary_list" ] }, { "page": "fill_ann_color_map", "title": "Fill missing values in the color map for annotation", "topics": [ "fill_ann_color_map" ] }, { "page": "get_ann_color_map", "title": "Create color map for annotation", "topics": [ "get_ann_color_map" ] }, { "page": "get_col_luminance", "title": "Calculate the luminance of a color", "topics": [ "get_col_luminance" ] }, { "page": "get_hm_title", "title": "Get Legend Title", "topics": [ "get_hm_title" ] }, { "page": "get_iso_colors", "title": "get_iso_colors", "topics": [ "get_iso_colors" ] }, { "page": "get_qual_colors", "title": "Create list of qualitative colors", "topics": [ "get_qual_colors" ] }, { "page": "heatmap_combo_metrics", "title": "Plot heatmaps of fitted values for combination metrics data", "topics": [ "heatmap_combo_metrics" ] }, { "page": "heatmap_combo_metrics_panel", "title": "Plot panel of heatmaps of fitted values for combination metrics data", "topics": [ "heatmap_combo_metrics_panel" ] }, { "page": "heatmap_combo_with_isoref", "title": "Plot heatmaps of averaged values for combination data", "topics": [ "heatmap_combo_with_isoref" ] }, { "page": "heatmap_combo_with_isoref_panel", "title": "Plot panel of heatmaps with fitted and reference data for isobolograms", "topics": [ "heatmap_combo_with_isoref_panel" ] }, { "page": "heatmap_combo_with_isoref_panel_common", "title": "#' Plot panel of heatmaps with fitted and reference data for isobolograms", "topics": [ "heatmap_combo_with_isoref_panel_common" ] }, { "page": "heatmap_combo_with_isoref_panel_independent", "title": "Plot panel of heatmaps with fitted and reference data for isobolograms", "topics": [ "heatmap_combo_with_isoref_panel_independent" ] }, { "page": "heatmap_control_mapping_qc", "title": "Plot heatmap of mapping controls to treated for single-agent and combo data to control quality of the data", "topics": [ "heatmap_control_mapping_qc" ] }, { "page": "is_color_dark", "title": "Determine whether or not a color is dark", "topics": [ "is_color_dark" ] }, { "page": "is_valid_color", "title": "Determine whether or not a color name is valid", "topics": [ "is_valid_color" ] }, { "page": "pheatmap_qc", "title": "Plot pretty heatmap for single-agent or combo data 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