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DESCRIPTION
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Package: carnation
Title: Interactive Exploration & Management of RNA-Seq Analyses
Version: 0.99.9
Authors@R:
c(
person("Apratim", "Mitra", , "apratim.mitra@nih.gov",
role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3279-0054")),
person(c("Matthew", "Tyler"), "Menold", , "matthew.menold@gmail.com",
role = c("ctb"), comment = c(ORCID = "0009-0007-4728-2470")),
person("Ryan", "Dale", , "ryan.dale@nih.gov",
role = c("fnd"), comment = c(ORCID = "0000-0003-2664-3744"))
)
Description: This package provides a highly interactive & modular shiny app to
explore three facets of RNA-Seq analysis: differential expression (DE),
functional enrichment and pattern analysis. Several visualizations
are implemented to provide a wide-ranging view of data sets. For
DE analysis, we provide PCA plot, MA plot, Upset plot & heatmaps,
in addition to a highly customizable gene plot. Seven different
visualizations are available for functional enrichment analysis,
and we also support gene pattern analysis. Genes of interest can
be tracked across all modules using the gene scratchpad. In addition,
carnation provides an integrated platform to manage multiple projects
and user access that can be run on a central server to share with
collaborators.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends:
R (>= 4.6.0)
Imports:
BiocParallel,
colorspace,
ComplexUpset,
dendextend,
DESeq2,
dplyr,
DT,
enrichplot,
GeneTonic,
ggplot2,
ggrepel,
heatmaply,
htmltools,
igraph,
methods,
MatrixGenerics,
plotly,
reticulate,
RColorBrewer,
rintrojs,
scales,
shiny,
shinyBS,
shinycssloaders,
shinymanager,
shinythemes,
shinyWidgets,
sortable,
SummarizedExperiment,
tools,
utils,
viridisLite,
visNetwork,
yaml
Suggests:
airway,
BiocStyle,
DEGreport,
GenomicFeatures,
goseq,
knitr,
org.Hs.eg.db,
rmarkdown,
testthat
VignetteBuilder: knitr
URL: https://nichd-bspc.github.io/carnation/
BugReports: https://github.com/NICHD-BSPC/carnation/issues
biocViews:
GUI, GeneExpression, Software, ShinyApps, GO, Transcription,
Transcriptomics, Visualization, DifferentialExpression,
Pathways, GeneSetEnrichment