DOI: 10.18129/B9.bioc.ScreenR  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see ScreenR.

Package to Perform High Throughput Biological Screening

Bioconductor version: 3.17

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.

Author: Emanuel Michele Soda [aut, cre] (0000-0002-2301-6465), Elena Ceccacci [aut] (0000-0002-2285-8994), Saverio Minucci [fnd, ths] (0000-0001-5678-536X)

Maintainer: Emanuel Michele Soda <emanuelsoda at>

Citation (from within R, enter citation("ScreenR")):


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biocViews AssayDomain, GeneExpression, Software
Version 1.2.0
In Bioconductor since BioC 3.16 (R-4.2) (1 year)
License MIT + file LICENSE
Depends R (>= 4.2)
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), knitr (>= 1.37), testthat (>= 3.0.0), BiocStyle(>= 2.22.0), covr (>= 3.5)
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