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A framework for intuitive, multi-source gene and protein annotation, with a focus on integrating functional genomics with disease and drug data for translational insights. Methods used include g:Profiler (Raudvere et al. (2019) <doi:10.1093/nar/gkz369>), biomaRt (Durinck et al. (2009) <doi:10.1038/nprot.2009.97>), and the Open Targets Platform (Koscielny et al. (2017) <doi:10.1093/nar/gkw1055>).
| Version: | 0.1.1 |
| Imports: | dplyr, gprofiler2, httr, jsonlite, purrr, tidyr, ggplot2, biomaRt, tibble, magrittr, later (≥ 1.3.1), testthat (≥ 3.0.0), knitr (≥ 1.50), rmarkdown |
| Published: | 2026-01-27 |
| DOI: | 10.32614/CRAN.package.annotaR |
| Author: | MD. Arshad [aut, cre] |
| Maintainer: | MD. Arshad <arshad10867c at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | annotaR results |
| Reference manual: | annotaR.html , annotaR.pdf |
| Vignettes: |
Introduction to annotaR (source, R code) |
| Package source: | annotaR_0.1.1.tar.gz |
| Windows binaries: | r-devel: annotaR_0.1.1.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): annotaR_0.1.1.tgz, r-oldrel (arm64): annotaR_0.1.1.tgz, r-release (x86_64): annotaR_0.1.1.tgz, r-oldrel (x86_64): annotaR_0.1.1.tgz |
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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.