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gprofiler2: Interface to the 'g:Profiler' Toolset

A toolset for functional enrichment analysis and visualization, gene/protein/SNP identifier conversion and mapping orthologous genes across species via 'g:Profiler' (<https://biit.cs.ut.ee/gprofiler/>). The main tools are: (1) 'g:GOSt' - functional enrichment analysis and visualization of gene lists; (2) 'g:Convert' - gene/protein/transcript identifier conversion across various namespaces; (3) 'g:Orth' - orthology search across species; (4) 'g:SNPense' - mapping SNP rs identifiers to chromosome positions, genes and variant effects. This package is an R interface corresponding to the 2019 update of 'g:Profiler' and provides access to 'g:Profiler' for versions 'e94_eg41_p11' and higher. See the package 'gProfileR' for accessing older versions from the 'g:Profiler' toolset.

Version: 0.2.3
Depends: R (≥ 3.5)
Imports: jsonlite, RCurl, ggplot2, plotly, tidyr (≥ 1.0.0), crosstalk, grDevices, gridExtra, grid, viridisLite, dplyr
Suggests: knitr, rmarkdown, prettydoc
Published: 2024-02-23
Author: Liis Kolberg, Uku Raudvere
Maintainer: Liis Kolberg <liis.kolberg at ut.ee>
BugReports: https://biit.cs.ut.ee/gprofiler/page/contact
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: gprofiler2 citation info
In views: Omics
CRAN checks: gprofiler2 results

Documentation:

Reference manual: gprofiler2.pdf
Vignettes: gprofiler2

Downloads:

Package source: gprofiler2_0.2.3.tar.gz
Windows binaries: r-devel: gprofiler2_0.2.3.zip, r-release: gprofiler2_0.2.3.zip, r-oldrel: gprofiler2_0.2.3.zip
macOS binaries: r-release (arm64): gprofiler2_0.2.3.tgz, r-oldrel (arm64): gprofiler2_0.2.3.tgz, r-release (x86_64): gprofiler2_0.2.3.tgz, r-oldrel (x86_64): gprofiler2_0.2.3.tgz
Old sources: gprofiler2 archive

Reverse dependencies:

Reverse imports: bulkAnalyseR, DFD, enrichViewNet, famat, GWENA, MultiRNAflow, orthogene, RCAS, scMappR, UniprotR
Reverse suggests: aPEAR, clustifyr, HPiP, knowYourCG, OmnipathR, rliger

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gprofiler2 to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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