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 [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

Linking:

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