BiocPkgDash
An interactive Shiny dashboard for Bioconductor package maintainers
Bioconductor version: 3.23 · Package version: 1.0.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
This package provides an interactive Shiny dashboard for Bioconductor package maintainers. It visualizes various package statuses, metadata, and development metrics, offering insights into package health and activity. This tool aims to support maintainers of multiple packages by filtering packages via maintainer email.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BiocPkgDash")Details
| Maintainer | Marcel Ramos <marcel.ramos@sph.cuny.edu> |
| Author | Marcel Ramos [aut, cre] (ORCID: <https://orcid.org/0000-0002-3242-0582>), Vincent Carey [aut] |
| License | Artistic-2.0 |
| URL | https://github.com/Bioconductor/BiocPkgDash |
| Bug Reports | https://github.com/Bioconductor/BiocPkgDash/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | GUI, Infrastructure, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/BiocPkgDash/ |
Citation
From within R, enter citation("BiocPkgDash"):
Marcel Ramos, Vincent Carey. BiocPkgDash: An interactive Shiny dashboard for Bioconductor package maintainers. doi:10.18129/B9.bioc.BiocPkgDash, R package version 1.0.0, https://bioconductor.org/packages/BiocPkgDash.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | BiocPkgDash_1.0.0.tar.gz |
| Windows binary (x86_64) | BiocPkgDash_1.0.0.zip |
| macOS binary (arm64) | BiocPkgDash_1.0.0.tgz |
| macOS binary (x86_64) | BiocPkgDash_1.0.0.tgz |
Dependencies
Depends: R (>= 4.5.0), shiny
Imports: BiocBaseUtils, BiocPkgTools (>= 1.27.6), BiocManager, bsicons, bslib, dplyr, DT, ggplot2, gh, htmlwidgets, plotly, rmarkdown, shinybiocloader, shinyjs, tibble, tidyr, utils, whisker, yaml
Suggests: BiocStyle, knitr, sessioninfo, tinytest