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DESCRIPTION
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Package: ScreenR
Type: Package
Title: Package to Perform High Throughput Biological Screening
Version: 0.99.55
Date: 2023-09-05
Authors@R: c(person("Emanuel Michele", "Soda", role = c("aut", "cre"),
email = "[email protected]",
comment = c(ORICD = "0000-0002-2301-6465")),
person("Elena", "Ceccacci", role = c("aut"),
email = "[email protected]",
comment = c(ORICD = "0000-0002-2285-8994")),
person("Saverio", "Minucci", role = c("fnd", "ths"),
email = "[email protected]",
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: 7.2.1
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)
Config/testthat/edition: 3
Depends:
R (>= 4.2)
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'