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p(tags$small("The download may take a few seconds to start.", style="font-size: smaller")),
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p("This resource contains:"),
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tags$ul(
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tags$li("The full IntroVerse database in SQLite format ", em("('introverse.sqlite')"), "."),
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tags$li("The SQLite schema, to provide information of how the different child and master tables are related between them ", em("('introverse_schema_complete.html')"), "."),
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tags$li("Two .csv files containing the column description of the intron and novel junction tables ", em("('intron_columns.csv' and 'novel_columns.csv')"), "."),
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tags$li("A .txt file with some useful SQL queries ", em("('sql_queries.txt')"), ".")
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tags$li("A .txt file with some useful SQL queries ", em("('sql_queries.txt')"), "."),
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tagList(
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h1(em(input$gene_tab1)),
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h2("Mis-splicing activity in the MANE transcript"),
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h2("Mis-splicing activity in the MANE transcript of ", em(input$gene_tab1)),
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br(),
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p("The Mis-Splicing Ratio (MSR) measure represents the frequency whereby any annotated intron within the Matched Annotation from NCBI and EMBL-EBI (MANE) transcript of a gene of interest is mis-spliced at its donor (in blue - MSR_Donor) and acceptor (in red - MSR_Acceptor) splice sites across all samples of a given human tissue."),
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p("Since the MSR formula produces a normalised figure ranging between 0 and 1, the higher the vertical bar shown, the higher the proportion of novel junction reads paired to the annotated intron displayed.",
@@ -1293,20 +1251,7 @@ server <- function(input, output, session) {
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}, width="auto", height="auto")
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}
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# downloadHandler(
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# filename = paste0("missplicing_",i,".png"),
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# content = function(file) {
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# ggsave(file, plot = plot_graph, device = "png")
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# }, contentType = 'image/png')
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#outputtt$`25`
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}),
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shinyjs::enable(id="geneButton_tab1"),
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shinyjs::removeClass(class="disabled-tab",
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rownames=F)
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)
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)
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# i <- metadata$SRA_project_tidy %>% unique() %>% length()
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