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
| Maintainer | Emanuel Michele Soda <emanuelsoda@gmail.com> |
| 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) |
| License | MIT + file LICENSE |
| URL | https://emanuelsoda.github.io/ScreenR/ |
| Bug Reports | https://github.com/EmanuelSoda/ScreenR/issues |
| Downloads rank | 187 |
| Source branch | RELEASE_3_23 |
| biocViews | AssayDomain, 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)