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hidecan: Create HIDECAN Plots for Visualising Genome-Wide Association Studies and Differential Expression Results

Generates HIDECAN plots that summarise and combine the results of genome-wide association studies (GWAS) and transcriptomics differential expression analyses (DE), along with manually curated candidate genes of interest. The HIDECAN plot is presented in Angelin-Bonnet et al. (2023) (currently in review).

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: dplyr, ggnewscale, ggplot2, ggrepel, purrr, shiny, tibble, tidyr, viridis, vroom
Suggests: knitr, rmarkdown, stringr, testthat (≥ 3.0.0)
Published: 2023-02-10
Author: Olivia Angelin-Bonnet ORCID iD [aut, cre]
Maintainer: Olivia Angelin-Bonnet <olivia.angelin-bonnet at plantandfood.co.nz>
BugReports: https://github.com/PlantandFoodResearch/hidecan/issues
License: MIT + file LICENSE
URL: https://plantandfoodresearch.github.io/hidecan/, https://github.com/PlantandFoodResearch/hidecan
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: hidecan results

Documentation:

Reference manual: hidecan.pdf
Vignettes: hidecan-step-by-step
hidecan

Downloads:

Package source: hidecan_1.1.0.tar.gz
Windows binaries: r-devel: hidecan_1.1.0.zip, r-release: hidecan_1.1.0.zip, r-oldrel: hidecan_1.1.0.zip
macOS binaries: r-release (arm64): hidecan_1.1.0.tgz, r-oldrel (arm64): hidecan_1.1.0.tgz, r-release (x86_64): hidecan_1.1.0.tgz, r-oldrel (x86_64): hidecan_1.1.0.tgz

Reverse dependencies:

Reverse imports: viewpoly

Linking:

Please use the canonical form https://CRAN.R-project.org/package=hidecan 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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