diff --git a/main.R b/main.R
index 0c32a7e..6b70e73 100644
--- a/main.R
+++ b/main.R
@@ -1,4 +1,6 @@
-source("data.R")
+library(shiny)
 
-data <- load_data_cached("input")
-print(data)
\ No newline at end of file
+source("server.R")
+source("ui.R")
+
+runApp(shinyApp(ui, server))
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diff --git a/scatter_plot.R b/scatter_plot.R
new file mode 100644
index 0000000..11ca41c
--- /dev/null
+++ b/scatter_plot.R
@@ -0,0 +1,73 @@
+library(data.table)
+library(ggplot2)
+
+#' Draw a scatter plot containing gene positions.
+scatter_plot <- function(gene_ids, data) {
+    species <- data$species
+    setorder(species, median_distance)
+
+    distances <- data$distances[geneid %in% gene_ids]
+
+    plot <- ggplot() +
+        scale_x_continuous(
+            name = "Species",
+            breaks = seq_len(nrow(species)),
+            labels = species$label
+        ) +
+        scale_y_continuous(name = "Distance to telomeres [Mbp]") +
+        geom_line(
+            species,
+            mapping = aes(
+                x = as.numeric(rownames(species)),
+                y = median_distance / 1000000
+            )
+        )
+
+    colors <- rainbow(length(gene_ids))
+
+    for (i in seq_len(length(gene_ids))) {
+        gene_id <- gene_ids[i]
+
+        gene_distances <- data.table(
+            index = as.numeric(rownames(species)),
+            distance = unlist(distances[geneid == gene_id, -1])
+        )
+
+        plot <- plot +
+            geom_point(
+                gene_distances,
+                mapping = aes(
+                    x = index,
+                    y = distance / 1000000,
+                ),
+                color = colors[i]
+            )
+    }
+
+    plot
+    
+    # plot(
+    #     species[, median_distance] / 1000000,
+    #     type = "l",
+    #     xaxt = "n",
+    #     xlab = "",
+    #     ylab = "Distance to telomere (Mbp)",
+    #     bty = "n"
+    # )
+
+    # axis(
+    #     1,
+    #     at = seq_len(nrow(species)),
+    #     tick = FALSE,
+    #     labels = FALSE
+    # )
+
+    # mtext(
+    #     data$species[, label],
+    #     side = 1,
+    #     at = seq_len(nrow(species)),
+    #     las = 2,
+    #     # col = axis.labels.col,
+    #     adj = 1
+    # )
+}
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diff --git a/server.R b/server.R
new file mode 100644
index 0000000..47d4917
--- /dev/null
+++ b/server.R
@@ -0,0 +1,23 @@
+library(data.table)
+library(DT)
+library(shiny)
+
+source("data.R")
+source("scatter_plot.R")
+
+data <- load_data_cached("input")
+
+server <- function(input, output) {
+    output$genes <- renderDT({
+        datatable(
+            data$genes[, c("name", "chromosome")],
+            rownames = FALSE,
+            style = "bootstrap"
+        )
+    })
+
+    output$scatter <- renderPlot({
+        gene_ids <- data$genes[input$genes_rows_selected, id]
+        scatter_plot(gene_ids, data)
+    })
+}
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diff --git a/ui.R b/ui.R
new file mode 100644
index 0000000..472d91c
--- /dev/null
+++ b/ui.R
@@ -0,0 +1,17 @@
+library(DT)
+library(shiny)
+
+ui <- fluidPage(
+    titlePanel("TPE-OLD candidates"),
+    sidebarLayout(
+        position = "right",
+        sidebarPanel(
+            h3("Candidate selection"),
+            DTOutput("genes"),
+            width = 3
+        ),
+        mainPanel(
+            plotOutput("scatter"),
+        )
+    )
+)
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