Update app.py

app.py

@@ -49,17 +49,38 @@ def plot_interactive(uniprot_id, show_clinvar=False):
   )
   if show_clinvar:
     iso_clinvar = clinvar[clinvar.LLR_file_id == uniprot_id]
+    iso_clinvar = iso_clinvar[iso_clinvar.ClinicalSignificance.isin(['Benign','Pathogenic'])]
+    b_mut=set(iso_clinvar[iso_clinvar.ClinicalSignificance=='Benign'].variant.values)
+    p_mut=set(iso_clinvar[iso_clinvar.ClinicalSignificance=='Pathogenic'].variant.values)
     hwt_x=[]
     hwt_y=[]
     cust=[]
+    phwt_x=[]
+    phwt_y=[]
+    pcust=[]
     for i in primaryLLR.columns:
       for j in list(primaryLLR.index):
         mut = i[0]+i[2:]+j
-        if mut in iso_clinvar.variant.values:
+        if mut in b_mut:
                         hwt_x+=[i]
                         hwt_y+=[j]
                         cust+=[primaryLLR.loc[j,i]]
+        elif mut in p_mut:
+                        phwt_x+=[i]
+                        phwt_y+=[j]
+                        pcust+=[primaryLLR.loc[j,i]]
 
+    fig.add_trace(go.Scatter(
+        x=phwt_x,
+        y=phwt_y,
+        customdata=pcust,
+        mode='markers',
+        marker=dict(size=8),
+        hovertemplate="<br>".join([
+            "<b>%{x} %{y}</b>"+
+            " (%{customdata:.2f})", 
+        ])+'<extra></extra>')
+    )
     fig.add_trace(go.Scatter(
         x=hwt_x,
         y=hwt_y,