Visual integration of GWAS and differential expression results with the hidecan R package

Abstract

Summary: We present hidecan, an R package for generating visualisations that summarise the results of one or more genome-wide association studies and differential expression analyses, as well as manually curated candidate genes, e.g. extracted from the literature.

Availability and Implementation: The hidecan package is implemented in R and is publicly available on the CRAN repository ( https://CRAN.R-project.org/package=hidecan) and on GitHub ( https://github.com/PlantandFoodResearch/hidecan). A description of the package, as well as a detailed tutorial are available at https://plantandfoodresearch.github.io/hidecan/.

Cite us

Angelin-Bonnet, O., Vignes, M., Biggs, P. J., Baldwin, S., & Thomson, S. (2023). Visual integration of GWAS and differential expression results with the hidecan R package. bioRxiv, 2023-03. https://doi.org/10.1101/2023.03.30.535015

Or with bibtex:

@article{angelin2023visual,
	title        = {Visual integration of GWAS and differential expression results with the hidecan R package},
	author       = {Angelin-Bonnet, Olivia and Vignes, Matthieu and Biggs, Patrick J and Baldwin, Samantha and Thomson, Susan},
	year         = 2023,
	journal      = {bioRxiv},
	publisher    = {Cold Spring Harbor Laboratory},
	pages        = {2023--03},
	doi          = {10.1101/2023.03.30.535015}
}