old_contents: import holoviews as hv
  
  color_sequence = ['#1f77b4', '#aec7e8', '#ff7f0e', '#ffbb78', '#2ca02c',
                    '#98df8a', '#d62728', '#ff9896', '#9467bd', '#c5b0d5',
                    '#8c564b', '#c49c94', '#e377c2', '#f7b6d2', '#7f7f7f',
                    '#c7c7c7', '#bcbd22', '#dbdb8d', '#17becf', '#9edae5']
  
  gene_curves_opts = {
      'Curve': {'plot': dict(height=120, width=600, tools=['hover'], invert_xaxis=True, yrotation=45, yaxis='left'),
                'style': dict(line_width=1.5)},
      'Curve.Percentage_of_Normal_Samples': {'plot': dict(xaxis=None, invert_yaxis=True),
                                             'style': dict(color='Blue')},
      'Curve.Gene_Expression': {'plot': dict(xaxis=None),
                                'style': dict(color='Green')},
      'Curve.Log2_Fold_Change': {'plot': dict(height=150),
                                 'style': dict(color='Purple')},
      'Scatter': {'style': dict(color='red', size=3)}}
  
  gene_kde_opts = {'Overlay': {'plot': dict(width=500, legend_position='left')}}
  
  gene_distribution_opts = {'BoxWhisker': {'plot': dict(width=875, xrotation=70)}}
  
  gene_de_opts = {
      'Scatter': {'plot': dict(color_index='Tissue', legend_position='left', width=700, height=500, tools=['hover']),
                  'style': dict(cmap='tab20', size=10, alpha=0.5)}}
  
  gene_de_heatmap_opts = {
      'HeatMap': {'plot': dict(colorbar=True)}
  }
  
  sample_count_opts = {
      'Bars': {'plot': dict(width=875, xrotation=70, tools=['hover'], show_legend=False)}
  }
  
  l2fc_by_perc_samples_opts = {
      'Curve': {'plot': dict(tools=['hover']),
                'style': dict(color=hv.Cycle(values=color_sequence))},
      'Overlay': {'plot': dict(legend_position='left', width=500)},
      'Spikes': {'plot': dict(spike_length=100),
                 'style': dict(line_alpha=0.4, line_width=5)}
  }
  
new_contents: import holoviews as hv
  
  color_sequence = ['#1f77b4', '#aec7e8', '#ff7f0e', '#ffbb78', '#2ca02c',
                    '#98df8a', '#d62728', '#ff9896', '#9467bd', '#c5b0d5',
                    '#8c564b', '#c49c94', '#e377c2', '#f7b6d2', '#7f7f7f',
                    '#c7c7c7', '#bcbd22', '#dbdb8d', '#17becf', '#9edae5']
  
  gene_curves_opts = {
      'Curve': {'plot': dict(height=120, width=600, tools=['hover'], invert_xaxis=True, yrotation=45, yaxis='left'),
                'style': dict(line_width=1.5)},
      'Curve.Percentage_of_Normal_Samples': {'plot': dict(xaxis=None, invert_yaxis=True),
                                             'style': dict(color='Blue')},
      'Curve.Gene_Expression': {'plot': dict(xaxis=None),
                                'style': dict(color='Green')},
      'Curve.Log2_Fold_Change': {'plot': dict(height=150),
                                 'style': dict(color='Purple')},
      'Scatter': {'style': dict(color='red', size=3)}}
  
  gene_kde_opts = {'Overlay': {'plot': dict(width=500, legend_position='left')}}
  
  gene_distribution_opts = {'BoxWhisker': {'plot': dict(width=875, xrotation=70)}}
  
  gene_de_opts = {
      'Scatter': {'plot': dict(color_index='Tissue', legend_position='left', width=700, height=500, tools=['hover']),
                  'style': dict(cmap='tab20', size=10, alpha=0.5)}}
  
  gene_de_heatmap_opts = {
      'HeatMap': {'plot': dict(colorbar=True, tools=['hover'], toolbar='above', xrotation=60, width=875, height=400)}
  }
  
  sample_count_opts = {
      'Bars': {'plot': dict(width=875, xrotation=70, tools=['hover'], show_legend=False)}
  }
  
  l2fc_by_perc_samples_opts = {
      'Curve': {'plot': dict(tools=['hover']),
                'style': dict(color=hv.Cycle(values=color_sequence))},
      'Overlay': {'plot': dict(legend_position='left', width=500)},
      'Spikes': {'plot': dict(spike_length=100),
                 'style': dict(line_alpha=0.4, line_width=5)}
  }
  
subject: Adjust de_heatmap_opts