# igvShiny: a wrapper of IGV in the Shiny apps

# igvShiny

The `igvShiny` package is a wrapper of Integrative Genomics Viewer (IGV). It comprises an htmlwidget version of IGV. It can be used as a module in Shiny apps.

# Installation

    if (!requireNamespace("BiocManager", quietly = TRUE))
        install.packages("BiocManager")

    BiocManager::install("igvShiny")

# Loading the package

    library(igvShiny)

# Running minimal Shiny app

Running the minimal Shiny app with igvShiny is as simple as:

- providing genome details via `parseAndValidateGenomeSpec`
- using `igvShinyOutput` as the UI function
- using `renderIgvShiny` as the server function

The he minimal Shiny app make look like:

    library(igvShiny)
    options <- parseAndValidateGenomeSpec(genomeName="hg38",  initialLocus="NDUFS2")
    if (interactive()) {
        ui <- shinyUI(fluidPage(igvShinyOutput('igvShiny'), width = 10))
        server <-
            function(input, output, session) {
                output$igvShiny <- renderIgvShiny({
                    igvShiny(options)
                })
                }
        runApp(shinyApp(ui = ui, server = server))
        }

# Providing genome details

Multiple genomes are currently supported by IGV: link. In igvShiny this set of genomes is called stock genomes. One can select any stock genome easily by running `parseAndValidateGenomeSpec` with single `genomeName` value properly assigned. For example to use the most popular mouse genome one need to run:

    igvShiny::parseAndValidateGenomeSpec("mm10")
    #> $stockGenome
    #> [1] TRUE
    #>
    #> $dataMode
    #> [1] NA
    #>
    #> $validated
    #> [1] TRUE
    #>
    #> $genomeName
    #> [1] "mm10"
    #>
    #> $initialLocus
    #> [1] "all"
    #>
    #> $fasta
    #> [1] NA
    #>
    #> $fastaIndex
    #> [1] NA
    #>
    #> $annotation
    #> [1] NA

The list of available stock genomes in igvShiny can be found with:

    igvShiny::get_css_genomes()
    #>  [1] "hs1"             "chm13v1.1"       "hg38"            "hg38_1kg"
    #>  [5] "hg19"            "hg18"            "mm39"            "mm10"
    #>  [9] "mm9"             "rn7"             "rn6"             "gorGor6"
    #> [13] "gorGor4"         "panTro6"         "panTro5"         "panTro4"
    #> [17] "macFas5"         "GCA_011100615.1" "panPan2"         "canFam6"
    #> [21] "canFam5"         "canFam4"         "canFam3"         "bosTau9"
    #> [25] "bosTau8"         "susScr11"        "galGal6"         "GCF_016699485.2"
    #> [29] "danRer11"        "danRer10"        "ce11"            "dm6"
    #> [33] "dm3"             "dmel_r5.9"       "sacCer3"         "ASM294v2"
    #> [37] "ASM985889v3"     "tair10"          "GCA_003086295.2" "GCF_001433935.1"
    #> [41] "NC_016856.1"     "GCA_000182895.1"

See also demo app for stock genomes when one can select genome of interest and familiarize with the basic functionalities provided via igvShiny:

    library(igvShiny)
    demo_app_file <- system.file(package= "igvShiny", "demos", "stockGenomesDemo.R")
        if (interactive()) {
            shiny::runApp(demo_app_file)
            }

It’s also possible to use custom genomes (i.e. non-stock genomes). In such cases one has to provide data for: `FASTA file`, `FASTA index file` and `genome annotation file`. The files can provided as local paths (`dataMode` = `localFiles` or via URLs (`dataMode = http`). See below the examples for both cases.

    library(igvShiny)

    # defining custom genome with data provided via URLs
    base_url <- "https://gladki.pl/igvr/testFiles"
    title <- "ribo remote"
    fasta_file <- sprintf("%s/%s", base_url, "ribosomal-RNA-gene.fasta")
    fastaIndex_file <- sprintf("%s/%s", base_url, "ribosomal-RNA-gene.fasta.fai")
    annotation_file <- sprintf("%s/%s", base_url, "ribosomal-RNA-gene.gff3")
    locus <- "U13369.1:7,276-8,225"
    genomeOptions <- parseAndValidateGenomeSpec(
        genomeName = title,
        initialLocus = locus,
        stockGenome = FALSE,
        dataMode = "http",
        fasta = fasta_file,
        fastaIndex = fastaIndex_file,
        genomeAnnotation = annotation_file
        )
    genomeOptions
    #> $stockGenome
    #> [1] FALSE
    #>
    #> $dataMode
    #> [1] "http"
    #>
    #> $validated
    #> [1] TRUE
    #>
    #> $genomeName
    #> [1] "ribo remote"
    #>
    #> $fasta
    #> [1] "https://gladki.pl/igvr/testFiles/ribosomal-RNA-gene.fasta"
    #>
    #> $fastaIndex
    #> [1] "https://gladki.pl/igvr/testFiles/ribosomal-RNA-gene.fasta.fai"
    #>
    #> $initialLocus
    #> [1] "U13369.1:7,276-8,225"
    #>
    #> $annotation
    #> [1] "https://gladki.pl/igvr/testFiles/ribosomal-RNA-gene.gff3"

    # defining custom genome with data provided with local files
    data_directory <- system.file(package = "igvShiny", "extdata")
    fasta_file      <- file.path(data_directory, "ribosomal-RNA-gene.fasta")
    fastaIndex_file <- file.path(data_directory, "ribosomal-RNA-gene.fasta.fai")
    annotation_file <- file.path(data_directory, "ribosomal-RNA-gene.gff3")
    genomeOptions2 <- parseAndValidateGenomeSpec(
        genomeName = "ribo local",
        initialLocus = "U13369.1:7,276-8,225",
        stockGenome = FALSE,
        dataMode = "localFiles",
        fasta = fasta_file,
        fastaIndex = fastaIndex_file,
        genomeAnnotation = annotation_file
        )
    genomeOptions2
    #> $stockGenome
    #> [1] FALSE
    #>
    #> $dataMode
    #> [1] "localFiles"
    #>
    #> $validated
    #> [1] TRUE
    #>
    #> $genomeName
    #> [1] "ribo local"
    #>
    #> $fasta
    #> [1] "/tmp/RtmpiT7rA4/Rinst16324e534c27/igvShiny/extdata/ribosomal-RNA-gene.fasta"
    #>
    #> $fastaIndex
    #> [1] "/tmp/RtmpiT7rA4/Rinst16324e534c27/igvShiny/extdata/ribosomal-RNA-gene.fasta.fai"
    #>
    #> $initialLocus
    #> [1] "U13369.1:7,276-8,225"
    #>
    #> $annotation
    #> [1] "/tmp/RtmpiT7rA4/Rinst16324e534c27/igvShiny/extdata/ribosomal-RNA-gene.gff3"

See also demo apps for custom genomes with data provided via URLs:

    library(igvShiny)
    demo_app_file <- system.file(
        package = "igvShiny",
        "demos",
        "igvShinyDemo-customGenome-http.R"
        )
    if (interactive()) {
        shiny::runApp(demo_app_file)
        }

as well as data provided via local files:

    library(igvShiny)
    demo_app_file <-
        system.file(
            package = "igvShiny",
            "demos",
            "igvShinyDemo-customGenome-localFiles.R")
    if (interactive()) {
        shiny::runApp(demo_app_file)
        }

# Main functionalities

In principle igvShiny provides the same functionalities that one can find in igv.js. In summary following actions are currently possible (wrapped as the R helpers):

- load tracks with the following formats/data types:
  - Bed
  - BedGraph
  - Seg
  - GWAS
  - Bam
  - Cram
  - Vcf
  - GFF3
- showGenomicRegion (zoom in or out to show the nominated region, by chromosome locus or gene symbol)
- getGenomicRegion (return the current IGV region)
- removeUserAddedTracks (remove tracks from the browser, added during the session by the user)

See also demo app to familiarize with the basic functionalities provided by igvShiny:

    library(igvShiny)
    demo_app_file <- system.file(package= "igvShiny", "demos", "igvShinyDemo.R")
    if (interactive()) {
        shiny::runApp(demo_app_file)
        }

# Session Info

    sessionInfo()
    #> R version 4.6.1 (2026-06-24)
    #> Platform: x86_64-pc-linux-gnu
    #> Running under: Ubuntu 26.04 LTS
    #>
    #> Matrix products: default
    #> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
    #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.32.so;  LAPACK version 3.12.0
    #>
    #> locale:
    #>  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
    #>  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
    #>  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
    #>  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
    #>  [9] LC_ADDRESS=C               LC_TELEPHONE=C
    #> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
    #>
    #> time zone: Etc/UTC
    #> tzcode source: system (glibc)
    #>
    #> attached base packages:
    #> [1] stats4    stats     graphics  grDevices utils     datasets  methods
    #> [8] base
    #>
    #> other attached packages:
    #> [1] igvShiny_1.9.6       shiny_1.14.0         GenomicRanges_1.65.1
    #> [4] Seqinfo_1.3.0        IRanges_2.47.2       S4Vectors_0.51.5
    #> [7] BiocGenerics_0.59.10 generics_0.1.4       BiocStyle_2.41.0
    #>
    #> loaded via a namespace (and not attached):
    #>  [1] sass_0.4.10             futile.options_1.0.1    stringi_1.8.7
    #>  [4] digest_0.6.39           magrittr_2.0.5          RColorBrewer_1.1-3
    #>  [7] evaluate_1.0.5          fastmap_1.2.0           jsonlite_2.0.0
    #> [10] backports_1.5.1         formatR_1.14            promises_1.5.0
    #> [13] BiocManager_1.30.27     httr_1.4.8              scales_1.4.0
    #> [16] randomcoloR_1.1.0.1     jquerylib_0.1.4         cli_3.6.6
    #> [19] rlang_1.3.0             futile.logger_1.4.9     cachem_1.1.0
    #> [22] yaml_2.3.12             otel_0.2.0              Rtsne_0.17
    #> [25] tools_4.6.1             checkmate_2.3.4         colorspace_2.1-3
    #> [28] httpuv_1.6.17           GenomeInfoDbData_1.2.15 lambda.r_1.2.4
    #> [31] curl_7.1.0              buildtools_1.0.0        R6_2.6.1
    #> [34] mime_0.13               lifecycle_1.0.5         stringr_1.6.0
    #> [37] V8_8.2.0                htmlwidgets_1.6.4       cluster_2.1.8.2
    #> [40] bslib_0.11.0            later_1.4.8             glue_1.8.1
    #> [43] Rcpp_1.1.2              xfun_0.60               sys_3.4.3
    #> [46] knitr_1.51              farver_2.1.2            xtable_1.8-8
    #> [49] htmltools_0.5.9         rmarkdown_2.31          maketools_1.3.2
    #> [52] compiler_4.6.1