def fqscreen_plot (self):
        """ Makes a fancy custom plot which replicates the plot seen in the main
        FastQ Screen program. Not useful if lots of samples as gets too wide. """

        categories = list()
        getCats = True
        data = list()
        p_types = OrderedDict()
        p_types['multiple_hits_multiple_libraries'] = {'col': '#7f0000', 'name': 'Multiple Hits, Multiple Genomes' }
        p_types['one_hit_multiple_libraries'] = {'col': '#ff0000', 'name': 'One Hit, Multiple Genomes' }
        p_types['multiple_hits_one_library'] = {'col': '#00007f', 'name': 'Multiple Hits, One Genome' }
        p_types['one_hit_one_library'] = {'col': '#0000ff', 'name': 'One Hit, One Genome' }
        for k, t in p_types.items():
            first = True
            for s in sorted(self.fq_screen_data.keys()):
                thisdata = list()
                if len(categories) > 0:
                    getCats = False
                for org in sorted(self.fq_screen_data[s]):
                    if org == 'total_reads':
                        continue
                    try:
                        thisdata.append(self.fq_screen_data[s][org]['percentages'][k])
                    except KeyError:
                        thisdata.append(None)
                    if getCats:
                        categories.append(org)
                td = {
                    'name': t['name'],
                    'stack': s,
                    'data': thisdata,
                    'color': t['col']
                }
                if first:
                    first = False
                else:
                    td['linkedTo'] = ':previous'
                data.append(td)

        html = '<div id="fq_screen_plot" class="hc-plot"></div> \n\
        <script type="text/javascript"> \n\
            fq_screen_data = {};\n\
            fq_screen_categories = {};\n\
            $(function () {{ \n\
                $("#fq_screen_plot").highcharts({{ \n\
                    chart: {{ type: "column", backgroundColor: null }}, \n\
                    title: {{ text: "FastQ Screen Results" }}, \n\
                    xAxis: {{ categories: fq_screen_categories }}, \n\
                    yAxis: {{ \n\
                        max: 100, \n\
                        min: 0, \n\
                        title: {{ text: "Percentage Aligned" }} \n\
                    }}, \n\
                    tooltip: {{ \n\
                        formatter: function () {{ \n\
                            return "<b>" + this.series.stackKey.replace("column","") + " - " + this.x + "</b><br/>" + \n\
                                this.series.name + ": " + this.y + "%<br/>" + \n\
                                "Total Alignment: " + this.point.stackTotal + "%"; \n\
                        }}, \n\
                    }}, \n\
                    plotOptions: {{ \n\
                        column: {{ \n\
                            pointPadding: 0, \n\
                            groupPadding: 0.02, \n\
                            stacking: "normal" }} \n\
                    }}, \n\
                    series: fq_screen_data \n\
                }}); \n\
            }}); \n\
        </script>'.format(json.dumps(data), json.dumps(categories))

        return html
Makes a fancy custom plot which replicates the plot seen in the main
        FastQ Screen program. Not useful if lots of samples as gets too wide.