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Package to create hidecan plots for GWAS and differential expression results
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PlantandFoodResearch/hidecan
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hidecan is an R package for generating HIDECAN plots, which arevisualisations summarising the results of one or more QTL mapping,genome-wide association study (GWAS) and transcriptomics differentialexpression (DE) analysis, alongside candidate genes of interest.
hidecan is available on the CRAN and can be installed via:
install.packages("hidecan")Alternatively, you can install the development version ofhidecan fromGitHub with:
# install.packages("devtools")devtools::install_github("PlantandFoodResearch/hidecan")
The hidecan package works as follows:
it takes as an input one of more data-frames containing QTL mappingresults, GWAS results, differential expression results and list ofcandidate genes of interest;
it computes the length of each chromosome based on the genomicposition of the regions, markers and genes provided in the input data;
it filters the datasets to retain significant regions/markers ordifferentially expressed genes, according to a threshold on theirscore and/or log2-fold change. The fold-change is set by the user, andcan be different for QTL mapping, GWAS and differential expressionresults.
it displays the position of the significant regions, markers and genesalongside candidate genes (HIDECAN plot). The plot can be customisedby the user via a number of parameters (e.g. legend position or labelsize).
The wrapper functionhidecan_plot() performs all of these steps. Itsuse is demonstrated below with an example dataset:
library(hidecan)## Getting an example datasetx<- get_example_data()hidecan_plot(qtl_list=x[["QTL"]],## data-frame of QTL mapping resultsgwas_list=x[["GWAS"]],## data-frame of GWAS resultsde_list=x[["DE"]],## data-frame of DE resultscan_list=x[["CAN"]],## data-frame of candidate genesscore_thr_qtl=-log10(0.0001),## sign. threshold for QTL mappingscore_thr_gwas=-log10(0.0001),## sign. threshold for GWASscore_thr_de=-log10(0.05),## sign. threshold for DElog2fc_thr=0,## log2FC threshold for DElabel_size=2## label size for candidate genes)
If using HIDECAN, please cite:
Angelin-Bonnet, O., Vignes, M., Biggs, P. J., Baldwin, S., & Thomson, S.(2024). Visual Integration of Genome-Wide Association Studies andDifferential Expression Results with the Hidecan R Package. Genes,15(10), 1244.https://doi.org/10.3390/genes15101244
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Package to create hidecan plots for GWAS and differential expression results
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