Package: ScreenR Type: Package Title: Package to Perform High Throughput Biological Screening Version: 1.15.0 Date: 2022-04-01 Authors@R: c(person("Emanuel Michele", "Soda", role = c("aut", "cre"), email = "emanuelsoda@gmail.com", comment = c(ORICD = "0000-0002-2301-6465")), person("Elena", "Ceccacci", role = c("aut"), email = "elena.ceccacci@ieo.it", comment = c(ORICD = "0000-0002-2285-8994")), person("Saverio", "Minucci", role = c("fnd", "ths"), email = "saverio.minucci@ieo.it", comment = c(ORICD = "0000-0001-5678-536X"))) Description: ScreenR is a package suitable to perform hit identification in loss of function High Throughput Biological Screenings performed using barcoded shRNA-based libraries. ScreenR combines the computing power of software such as edgeR with the simplicity of use of the Tidyverse metapackage. ScreenR executes a pipeline able to find candidate hits from barcode counts, and integrates a wide range of visualization modes for each step of the analysis. License: MIT + file LICENSE Encoding: UTF-8 RoxygenNote: 7.2.0 Imports: methods (>= 4.0), rlang (>= 0.4), stringr (>= 1.4), limma (>= 3.46), patchwork (>= 1.1), tibble (>= 3.1.6), scales (>= 1.1.1), ggvenn (>= 0.1.9), purrr (>= 0.3.4), ggplot2 (>= 3.3), stats, tidyr (>= 1.2), magrittr (>= 1.0), dplyr (>= 1.0), edgeR (>= 3.32), tidyselect (>= 1.1.2) Suggests: rmarkdown (>= 2.11), markdown, knitr (>= 1.37), testthat (>= 3.0.0), BiocStyle (>= 2.22.0), covr (>= 3.5) Config/testthat/edition: 3 Depends: R (>= 4.3) VignetteBuilder: knitr biocViews: Software, AssayDomain, GeneExpression BugReports: https://github.com/EmanuelSoda/ScreenR/issues URL: https://emanuelsoda.github.io/ScreenR/ Collate: 'ScreenR-package.R' 'annotation_table.R' 'barcode_lost.R' 'camera_method.R' 'compute_data_table.R' 'compute_metrics.R' 'count_mapped_reads.R' 'count_table.R' 'create_object.R' 'distribution_mapped_reads.R' 'filter_by.R' 'find_common_hit.R' 'find_roast_hit.R' 'find_robust_zscore_hit.R' 'find_zscore_hit.R' 'generics.R' 'mapped_reads.R' 'normalize_data.R' 'plot_barcode_hit.R' 'plot_barcode_trend.R' 'plot_boxplot.R' 'plot_mapped_reads.R' 'plot_mds.R' 'plot_trend.R' 'plot_zscore_distribution.R' 'screenr-class.R' 'zzz.R' Config/pak/sysreqs: libicu-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:58:31 UTC RemoteUrl: https://github.com/bioc/ScreenR RemoteRef: HEAD RemoteSha: 5bb5455752e6db6c379b1031736258d34cbe7fbb NeedsCompilation: no Packaged: 2026-07-04 01:11:16 UTC; root Author: Emanuel Michele Soda [aut, cre] (ORICD: 0000-0002-2301-6465), Elena Ceccacci [aut] (ORICD: 0000-0002-2285-8994), Saverio Minucci [fnd, ths] (ORICD: 0000-0001-5678-536X) Maintainer: Emanuel Michele Soda