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ScreenR

Package to Perform High Throughput Biological Screening

Bioconductor version: 3.23 · Package version: 1.14.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ScreenR")

Details

MaintainerEmanuel Michele Soda <emanuelsoda@gmail.com>
AuthorEmanuel 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)
LicenseMIT + file LICENSE
URLhttps://emanuelsoda.github.io/ScreenR/
Bug Reportshttps://github.com/EmanuelSoda/ScreenR/issues
Downloads rank187
Source branchRELEASE_3_23
biocViewsAssayDomain, GeneExpression, Software

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Dependencies

Depends: R (>= 4.3)

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)