library(igvShiny)
library(cyjShiny)
#----------------------------------------------------------------------------------------------------
tbl.nodes <- data.frame(id=c("A", "B", "C"),
type=c("kinase", "TF", "glycoprotein"),
lfc=c(-3, 1, 1),
count=c(0, 0, 0),
stringsAsFactors=FALSE)
tbl.edges <- data.frame(source=c("A", "B", "C"),
target=c("B", "C", "A"),
interaction=c("phosphorylates", "synthetic lethal", "unknown"),
stringsAsFactors=FALSE)
graph.json <- toJSON(dataFramesToJSON(tbl.edges, tbl.nodes), auto_unbox=TRUE)
#----------------------------------------------------------------------------------------------------
ui = shinyUI(
fluidPage(
div(id="igvBox",
igvShinyOutput('igvShiny')
),
#igvShinyOutput('igvShiny_0'),
#cyjShinyOutput('cyjShiny_0'),
div(id="cyjBox",
cyjShinyOutput('cyjShiny')
),
width=10
)
) # ui
#----------------------------------------------------------------------------------------------------
server = function(input, output, session)
{
output$igvShiny <- renderIgvShiny({
genomeOptions <- parseAndValidateGenomeSpec(genomeName="hg38", initialLocus="NDUFS2")
igvShiny(genomeOptions)
})
#output$igvShiny_0 <- renderIgvShiny({
# options <- list(genomeName="hg38", initialLocus="NDUFS2")
# igvShiny(options)
# })
output$cyjShiny <- renderCyjShiny({
cyjShiny(graph=graph.json, layoutName="cola")
})
#output$cyjShiny_0 <- renderCyjShiny({
# cyjShiny(graph=graph.json, layoutName="random")
# })
} # server
#----------------------------------------------------------------------------------------------------
runApp(shinyApp(ui=ui, server=server), port=9997)
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