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
DOI: 10.32614/CRAN.package.hidecan
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


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


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


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