       for i of means
         means[i] /= n[i]
 
-      pxgXaxis = svg.append("g").attr("class", "probe_data").attr("class", "plotPXG").attr("id", "pxg_xaxis")
       pxgXaxis.selectAll("empty")
               .data(means)
               .enter()

    plotPXG = (marker) ->
      d3.selectAll(".plotPXG").remove()

      pxgYscale = d3.scale.linear()
                     .domain([d3.min(probe_data.pheno),
                              d3.max(probe_data.pheno)])

  lightGray = d3.rgb(230, 230, 230)
  darkGray = d3.rgb(200, 200, 200)
  darkblue = "darkslateblue"
  darkgreen = "darkslateblue" # "darkgreen" # <- I didn't like having separate colors for each chr in cis/trans plot
  pink = "hotpink"
  altpink = "#E9CFEC"
  purple = "#8C4374"
