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README.md
# SPICEY <img src="man/figures/SPICEY_LOGO_LIGHT.svg" width="200px" height="200px" align="right" style="padding-left:10px;background-color:white;"/> <!-- badges: start --> <!-- badges: end --> ## Bioconductor release status | Branch | R CMD check | Last updated | |:------------------------:|:------------------------:|:-------------------:| | [*devel*](http://bioconductor.org/packages/devel/bioc/html/SPICEY.html) | [![Bioconductor-devel Build Status](http://bioconductor.org/shields/build/devel/bioc/SPICEY.svg)](http://bioconductor.org/checkResults/devel/bioc-LATEST/SPICEY) | ![](http://bioconductor.org/shields/lastcommit/devel/bioc/SPICEY.svg) | | [*release*](http://bioconductor.org/packages/release/bioc/html/SPICEY.html) | [![Bioconductor-release Build Status](http://bioconductor.org/shields/build/release/bioc/SPICEY.svg)](http://bioconductor.org/checkResults/release/bioc-LATEST/SPICEY) | ![](http://bioconductor.org/shields/lastcommit/release/bioc/SPICEY.svg) | The goal of SPICEY is to provide a user-friendly pipeline for quantifying and visualizing tissue specificity specificity ## Installation Install the latest release of SPICEY from Bioconductor: ```{r install, eval=FALSE, echo=TRUE} if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SPICEY") ``` Now you can load the package using `library(SPICEY)`. ## Basic usage For detailed instructions on how to use SPICEY, please see the vignette once the package is installed using: `vignette("SPICEY")`. ``` r library(dplyr) library(GenomicRanges) library(TxDb.Hsapiens.UCSC.hg38.knownGene) library(org.Hs.eg.db) library(SPICEY) # Annotate peaks to genes with coaccessibility peaks <- unique(unlist(atac)[,c("region_id")]) annotation_coacc <- annotate_with_coaccessibility( peaks = peaks, txdb = TxDb.Hsapiens.UCSC.hg38.knownGene, links_df = cicero_links, annot_dbi = org.Hs.eg.db, protein_coding_only = TRUE, verbose = TRUE, add_tss_annotation = FALSE, upstream = 2000, downstream = 2000 ) # Calculate SPICEY measures and link them with coaccessibility spicey_coacc <- SPICEY( rna = rna, atac = atac, annotation = annotation_coacc ) # Plot results spicey_heatmap(spicey_coacc$linked, spicey_measure = "SPICEY", combined_score = TRUE) ``` <img src="man/figures/README-SPICEY_combined_plot.png" width="50%" /> ## Code of Conduct Please note that the SPICEY project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.