diff --git a/notebooks/test_ts.ipynb b/notebooks/test_ts.ipynb
index 6d87f9e..2f2b51e 100644
--- a/notebooks/test_ts.ipynb
+++ b/notebooks/test_ts.ipynb
@@ -129,8 +129,8 @@
        "                \n",
        "                  <tr>\n",
        "                    <td>Mutations</td>\n",
-       "                      <td>68</td>\n",
-       "                      <td>7.3 KiB</td>\n",
+       "                      <td>77</td>\n",
+       "                      <td>8.3 KiB</td>\n",
        "                      <td style=\"text-align: center;\">\n",
        "                        ✅\n",
        "                      </td>\n",
@@ -139,7 +139,7 @@
        "                  <tr>\n",
        "                    <td>Nodes</td>\n",
        "                      <td>62</td>\n",
-       "                      <td>53.2 KiB</td>\n",
+       "                      <td>50.9 KiB</td>\n",
        "                      <td style=\"text-align: center;\">\n",
        "                        ✅\n",
        "                      </td>\n",
@@ -180,7 +180,7 @@
        "            "
       ],
       "text/plain": [
-       "<tskit.trees.TreeSequence at 0x7f2775ebc430>"
+       "<tskit.trees.TreeSequence at 0x7fd84a81dc90>"
       ]
      },
      "execution_count": 2,
@@ -197,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -208,13 +208,16 @@
        "         'AG': 7,\n",
        "         'TC': 7,\n",
        "         'GA': 4,\n",
-       "         'A-': 1,\n",
+       "         'A-': 4,\n",
+       "         'T-': 3,\n",
+       "         'C-': 2,\n",
        "         'TA': 1,\n",
        "         'GC': 1,\n",
-       "         'CA': 1})"
+       "         'CA': 1,\n",
+       "         'G-': 1})"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -233,13 +236,13 @@
     "    mut_pos.append(pos)\n",
     "    mut_types.append(f\"{prev}{mut.derived_state}\")\n",
     "\n",
-    "# What is A1547-? One-base deletion in ORF1a.\n",
+    "\n",
     "collections.Counter(mut_types)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -258,27 +261,6 @@
     "        print(f\"pos: {k}; count: {v}\")\n"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# There should be no recurrent mutations this early.\n",
-    "all(np.array(list(collections.Counter(mut_labels.values()).values()), dtype=int) == 1)\n"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 7,
@@ -342,58 +324,58 @@
     {
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        "SRR11397727</text></g><g class=\"a5 leaf node n4 sample\" transform=\"translate(-29.4337 43.5812)\"><path class=\"edge\" d=\"M 0 0 V -43.5812 H 29.4337\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">4 B\n",
        "SRR11397730</text></g><g class=\"a5 leaf node n6 sample\" transform=\"translate(-11.3207 87.1625)\"><path class=\"edge\" d=\"M 0 0 V -87.1625 H 11.3207\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">6 B\n",
        "SRR11397726</text></g><g class=\"a5 leaf node n7 sample\" transform=\"translate(6.79239 87.1625)\"><path class=\"edge\" d=\"M 0 0 V -87.1625 H -6.79239\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">7 B\n",
-       "SRR11397729</text></g><g class=\"a5 c2 m32 node n61 s14589\" transform=\"translate(47.5467 479.394)\"><g class=\"a61 c2 m12 m13 node n54 s2392 s2470 sample\" transform=\"translate(-13.5848 479.394)\"><g class=\"a54 leaf node n58 sample\" transform=\"translate(-9.05652 130.744)\"><path class=\"edge\" d=\"M 0 0 V -130.744 H 9.05652\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">58 B.40\n",
-       "ERR4205570</text></g><g class=\"a54 leaf m52 node n60 s26644 sample\" transform=\"translate(9.05652 130.744)\"><path class=\"edge\" d=\"M 0 0 V -130.744 H -9.05652\" /><g class=\"mut m52 s26644\" transform=\"translate(0 -65.3719)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"65.3719\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C26994T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">60 B.40\n",
+       "SRR11397729</text></g><g class=\"a5 c2 m38 node n61 s14589\" transform=\"translate(47.5467 479.394)\"><g class=\"a61 c2 m12 m13 node n54 s2392 s2470 sample\" transform=\"translate(-13.5848 479.394)\"><g class=\"a54 leaf node n58 sample\" transform=\"translate(-9.05652 130.744)\"><path class=\"edge\" d=\"M 0 0 V -130.744 H 9.05652\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">58 B.40\n",
+       "ERR4205570</text></g><g class=\"a54 leaf m58 node n60 s26644 sample\" transform=\"translate(9.05652 130.744)\"><path class=\"edge\" d=\"M 0 0 V -130.744 H -9.05652\" /><g class=\"mut m58 s26644\" transform=\"translate(0 -65.3719)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"65.3719\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C26994T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">60 B.40\n",
        "ERR4206593</text></g><path class=\"edge\" d=\"M 0 0 V -479.394 H 13.5848\" /><g class=\"mut m12 s2392\" transform=\"translate(0 -319.596)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"319.596\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">A2480G</text></g><g class=\"mut m13 s2470\" transform=\"translate(0 -159.798)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"159.798\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C2558T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab lft\" transform=\"translate(-3 -7.0)\">54 B.40\n",
-       "ERR4206180</text></g><g class=\"a61 leaf m37 node n59 s17005 sample\" transform=\"translate(13.5848 610.138)\"><path class=\"edge\" d=\"M 0 0 V -610.138 H -13.5848\" /><g class=\"mut m37 s17005\" transform=\"translate(0 -305.069)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"305.069\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">T17247C</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">59 B.33\n",
-       "ERR4204459</text></g><path class=\"edge\" d=\"M 0 0 V -479.394 H -47.5467\" /><g class=\"mut m32 s14589\" transform=\"translate(0 -239.697)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"239.697\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C14805T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">61</text></g><path class=\"edge\" d=\"M 0 0 V -261.488 H 165.282\" /><g class=\"mut m48 s25797\" transform=\"translate(0 -130.744)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"130.744\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G26144T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">5</text></g><g class=\"a1 c13 m23 m56 node n9 s27781 s8627\" transform=\"translate(-348.676 174.325)\"><g class=\"a9 leaf m39 node n2 s17811 sample\" transform=\"translate(-117.735 43.5812)\"><path class=\"edge\" d=\"M 0 0 V -43.5812 H 117.735\" /><g class=\"mut m39 s17811\" transform=\"translate(0 -21.7906)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"21.7906\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C18060T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">2 A\n",
-       "SRR11772659</text></g><g class=\"a9 c1 m60 m65 node n8 s28509 s29357 sample\" transform=\"translate(90.5652 174.325)\"><g class=\"a8 c2 m27 node n50 s9870\" transform=\"translate(0.0 784.463)\"><g class=\"a50 leaf node n48 sample\" transform=\"translate(-9.05652 43.5812)\"><path class=\"edge\" d=\"M 0 0 V -43.5812 H 9.05652\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">48 A\n",
+       "ERR4206180</text></g><g class=\"a61 leaf m43 node n59 s17005 sample\" transform=\"translate(13.5848 610.138)\"><path class=\"edge\" d=\"M 0 0 V -610.138 H -13.5848\" /><g class=\"mut m43 s17005\" transform=\"translate(0 -305.069)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"305.069\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">T17247C</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">59 B.33\n",
+       "ERR4204459</text></g><path class=\"edge\" d=\"M 0 0 V -479.394 H -47.5467\" /><g class=\"mut m38 s14589\" transform=\"translate(0 -239.697)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"239.697\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C14805T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">61</text></g><path class=\"edge\" d=\"M 0 0 V -261.488 H 165.282\" /><g class=\"mut m54 s25797\" transform=\"translate(0 -130.744)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"130.744\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G26144T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">5</text></g><g class=\"a1 c13 m29 m62 node n9 s27781 s8627\" transform=\"translate(-348.676 174.325)\"><g class=\"a9 leaf m45 node n2 s17811 sample\" transform=\"translate(-117.735 43.5812)\"><path class=\"edge\" d=\"M 0 0 V -43.5812 H 117.735\" /><g class=\"mut m45 s17811\" transform=\"translate(0 -21.7906)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"21.7906\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C18060T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">2 A\n",
+       "SRR11772659</text></g><g class=\"a9 c1 m66 m71 node n8 s28509 s29357 sample\" transform=\"translate(90.5652 174.325)\"><g class=\"a8 c2 m33 node n50 s9870\" transform=\"translate(0.0 784.463)\"><g class=\"a50 leaf node n48 sample\" transform=\"translate(-9.05652 43.5812)\"><path class=\"edge\" d=\"M 0 0 V -43.5812 H 9.05652\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">48 A\n",
        "SRR11397718</text></g><g class=\"a50 leaf node n49 sample\" transform=\"translate(9.05652 43.5812)\"><path class=\"edge\" d=\"M 0 0 V -43.5812 H -9.05652\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">49 A\n",
-       "SRR11397722</text></g><path class=\"edge\" d=\"M 0 0 V -784.463 H 0.0\" /><g class=\"mut m27 s9870\" transform=\"translate(0 -392.231)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"392.231\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C10038T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab lft\" transform=\"translate(-3 -7.0)\">50</text></g><path class=\"edge\" d=\"M 0 0 V -174.325 H -90.5652\" /><g class=\"mut m60 s28509\" transform=\"translate(0 -116.217)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"116.217\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G28878A</text></g><g class=\"mut m65 s29357\" transform=\"translate(0 -58.1083)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"58.1083\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G29742A</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">8 A\n",
+       "SRR11397722</text></g><path class=\"edge\" d=\"M 0 0 V -784.463 H 0.0\" /><g class=\"mut m33 s9870\" transform=\"translate(0 -392.231)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"392.231\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C10038T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab lft\" transform=\"translate(-3 -7.0)\">50</text></g><path class=\"edge\" d=\"M 0 0 V -174.325 H -90.5652\" /><g class=\"mut m66 s28509\" transform=\"translate(0 -116.217)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"116.217\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G28878A</text></g><g class=\"mut m71 s29357\" transform=\"translate(0 -58.1083)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"58.1083\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G29742A</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">8 A\n",
        "SRR11597198</text></g><g class=\"a9 leaf node n12 sample\" transform=\"translate(-99.6217 261.488)\"><path class=\"edge\" d=\"M 0 0 V -261.488 H 99.6217\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">12 A\n",
-       "SRR11597132</text></g><g class=\"a9 leaf m16 m42 node n13 s21565 s3084 sample\" transform=\"translate(-81.5087 261.488)\"><path class=\"edge\" d=\"M 0 0 V -261.488 H 81.5087\" /><g class=\"mut m16 s3084\" transform=\"translate(0 -174.325)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"174.325\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C3176T</text></g><g class=\"mut m42 s21565\" transform=\"translate(0 -87.1625)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"87.1625\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C21855T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">13 A\n",
+       "SRR11597132</text></g><g class=\"a9 leaf m16 m48 node n13 s21565 s3084 sample\" transform=\"translate(-81.5087 261.488)\"><path class=\"edge\" d=\"M 0 0 V -261.488 H 81.5087\" /><g class=\"mut m16 s3084\" transform=\"translate(0 -174.325)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"174.325\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C3176T</text></g><g class=\"mut m48 s21565\" transform=\"translate(0 -87.1625)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"87.1625\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C21855T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">13 A\n",
        "SRR11597121</text></g><g class=\"a9 leaf node n15 sample\" transform=\"translate(-63.3957 348.65)\"><path class=\"edge\" d=\"M 0 0 V -348.65 H 63.3957\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">15 A\n",
-       "SRR11597177</text></g><g class=\"a9 leaf m11 m67 node n21 s2388 s29358 sample\" transform=\"translate(-45.2826 392.231)\"><path class=\"edge\" d=\"M 0 0 V -392.231 H 45.2826\" /><g class=\"mut m11 s2388\" transform=\"translate(0 -261.487)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"261.487\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A2476G</text></g><g class=\"mut m67 s29358\" transform=\"translate(0 -130.744)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"130.744\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C29743T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">21 A\n",
-       "SRR11494548</text></g><g class=\"a9 leaf m45 m51 m55 node n22 s23705 s26379 s27714 sample\" transform=\"translate(-27.1696 610.138)\"><path class=\"edge\" d=\"M 0 0 V -610.138 H 27.1696\" /><g class=\"mut m45 s23705\" transform=\"translate(0 -457.603)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"457.603\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C24034T</text></g><g class=\"mut m51 s26379\" transform=\"translate(0 -305.069)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"305.069\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">T26729C</text></g><g class=\"mut m55 s27714\" transform=\"translate(0 -152.534)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"152.534\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G28077C</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">22 A\n",
-       "SRR11597140</text></g><g class=\"a9 leaf m25 node n23 s9309 sample\" transform=\"translate(-9.05652 610.138)\"><path class=\"edge\" d=\"M 0 0 V -610.138 H 9.05652\" /><g class=\"mut m25 s9309\" transform=\"translate(0 -305.069)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"305.069\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">T9477A</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">23 A\n",
-       "SRR11597151</text></g><g class=\"a9 leaf m1 m22 m28 m5 node n30 s11248 s142 s6235 s871 sample\" transform=\"translate(9.05652 653.719)\"><path class=\"edge\" d=\"M 0 0 V -653.719 H -9.05652\" /><g class=\"mut m1 s142\" transform=\"translate(0 -522.975)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"522.975\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C207T</text></g><g class=\"mut m5 s871\" transform=\"translate(0 -392.231)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"392.231\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">T946C</text></g><g class=\"mut m22 s6235\" transform=\"translate(0 -261.488)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"261.488\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C6363T</text></g><g class=\"mut m28 s11248\" transform=\"translate(0 -130.744)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"130.744\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A11430G</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">30 A\n",
-       "SRR11597195</text></g><g class=\"a9 leaf m19 m26 m40 node n33 s20252 s4552 s9722 sample\" transform=\"translate(27.1696 697.3)\"><path class=\"edge\" d=\"M 0 0 V -697.3 H -27.1696\" /><g class=\"mut m19 s4552\" transform=\"translate(0 -522.975)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"522.975\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C4655T</text></g><g class=\"mut m26 s9722\" transform=\"translate(0 -348.65)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"348.65\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G9890T</text></g><g class=\"mut m40 s20252\" transform=\"translate(0 -174.325)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"174.325\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G20527T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">33 A\n",
+       "SRR11597177</text></g><g class=\"a9 leaf m11 m73 node n21 s2388 s29358 sample\" transform=\"translate(-45.2826 392.231)\"><path class=\"edge\" d=\"M 0 0 V -392.231 H 45.2826\" /><g class=\"mut m11 s2388\" transform=\"translate(0 -261.487)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"261.487\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A2476G</text></g><g class=\"mut m73 s29358\" transform=\"translate(0 -130.744)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"130.744\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C29743T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">21 A\n",
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+       "SRR11597140</text></g><g class=\"a9 leaf m31 node n23 s9309 sample\" transform=\"translate(-9.05652 610.138)\"><path class=\"edge\" d=\"M 0 0 V -610.138 H 9.05652\" /><g class=\"mut m31 s9309\" transform=\"translate(0 -305.069)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"305.069\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">T9477A</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">23 A\n",
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        "SRR11597191</text></g><g class=\"a9 leaf node n40 sample\" transform=\"translate(45.2826 828.044)\"><path class=\"edge\" d=\"M 0 0 V -828.044 H -45.2826\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">40 A\n",
-       "SRR11597156</text></g><g class=\"a9 leaf m61 node n46 s28717 sample\" transform=\"translate(63.3957 915.206)\"><path class=\"edge\" d=\"M 0 0 V -915.206 H -63.3957\" /><g class=\"mut m61 s28717\" transform=\"translate(0 -457.603)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"457.603\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C29095T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">46 A\n",
-       "SRR11597146</text></g><g class=\"a9 leaf m3 node n57 s223 sample\" transform=\"translate(117.735 1133.11)\"><path class=\"edge\" d=\"M 0 0 V -1133.11 H -117.735\" /><g class=\"mut m3 s223\" transform=\"translate(0 -566.556)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"566.556\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C289T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">57 A\n",
-       "SRR11597218</text></g><path class=\"edge\" d=\"M 0 0 V -174.325 H 348.676\" /><g class=\"mut m23 s8627\" transform=\"translate(0 -116.217)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"116.217\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C8782T</text></g><g class=\"mut m56 s27781\" transform=\"translate(0 -58.1083)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"58.1083\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">T28144C</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab lft\" transform=\"translate(-3 -7.0)\">9</text></g><g class=\"a1 leaf m0 m33 m41 m50 node n10 s138 s14671 s21417 s26186 sample\" transform=\"translate(-86.037 392.231)\"><path class=\"edge\" d=\"M 0 0 V -392.231 H 86.037\" /><g class=\"mut m0 s138\" transform=\"translate(0 -313.785)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"313.785\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C203T</text></g><g class=\"mut m33 s14671\" transform=\"translate(0 -235.339)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"235.339\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C14889T</text></g><g class=\"mut m41 s21417\" transform=\"translate(0 -156.892)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"156.892\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C21707T</text></g><g class=\"mut m50 s26186\" transform=\"translate(0 -78.4462)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"78.4462\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C26533T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">10 B\n",
-       "SRR11597143</text></g><g class=\"a1 leaf m46 node n11 s24041 sample\" transform=\"translate(-67.9239 392.231)\"><path class=\"edge\" d=\"M 0 0 V -392.231 H 67.9239\" /><g class=\"mut m46 s24041\" transform=\"translate(0 -196.116)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"196.116\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C24370T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">11 B\n",
-       "SRR11597154</text></g><g class=\"a1 c2 m47 node n26 s24869\" transform=\"translate(104.15 697.3)\"><g class=\"a26 leaf node n24 sample\" transform=\"translate(-9.05652 87.1625)\"><path class=\"edge\" d=\"M 0 0 V -87.1625 H 9.05652\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">24 B\n",
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-       "SRR11597153</text></g><path class=\"edge\" d=\"M 0 0 V -697.3 H -104.15\" /><g class=\"mut m47 s24869\" transform=\"translate(0 -348.65)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"348.65\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">T25209C</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">26</text></g><g class=\"a1 leaf m59 m8 node n28 s1470 s28476 sample\" transform=\"translate(131.32 828.044)\"><path class=\"edge\" d=\"M 0 0 V -828.044 H -131.32\" /><g class=\"mut m8 s1470\" transform=\"translate(0 -552.029)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"552.029\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A1547-</text></g><g class=\"mut m59 s28476\" transform=\"translate(0 -276.015)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"276.015\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G28845T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">28 B\n",
-       "SRR11597164</text></g><g class=\"a1 leaf m17 node n29 s3671 sample\" transform=\"translate(149.433 828.044)\"><path class=\"edge\" d=\"M 0 0 V -828.044 H -149.433\" /><g class=\"mut m17 s3671\" transform=\"translate(0 -414.022)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"414.022\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C3768T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">29 B\n",
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-       "SRR11597220</text></g><g class=\"a31 leaf m21 m58 node n27 s28461 s5129 sample\" transform=\"translate(9.05652 784.463)\"><path class=\"edge\" d=\"M 0 0 V -784.463 H -9.05652\" /><g class=\"mut m21 s5129\" transform=\"translate(0 -522.975)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"522.975\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C5239T</text></g><g class=\"mut m58 s28461\" transform=\"translate(0 -261.488)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"261.488\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C28830A</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">27 B\n",
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+       "SRR11597164</text></g><g class=\"a1 leaf m17 m19 m20 m21 node n29 s3671 s3852 s3853 s3854 sample\" transform=\"translate(149.433 828.044)\"><path class=\"edge\" d=\"M 0 0 V -828.044 H -149.433\" /><g class=\"mut m17 s3671\" transform=\"translate(0 -662.435)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"662.435\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C3768T</text></g><g class=\"mut m19 s3852\" transform=\"translate(0 -496.826)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"496.826\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A3951-</text></g><g class=\"mut m20 s3853\" transform=\"translate(0 -331.218)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"331.218\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">T3952-</text></g><g class=\"mut m21 s3854\" transform=\"translate(0 -165.609)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"165.609\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A3953-</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">29 B\n",
+       "SRR11597190</text></g><g class=\"a1 c2 m44 node n31 s17131\" transform=\"translate(-40.7543 43.5812)\"><g class=\"a31 leaf m36 node n14 s12705 sample\" transform=\"translate(-9.05652 392.231)\"><path class=\"edge\" d=\"M 0 0 V -392.231 H 9.05652\" /><g class=\"mut m36 s12705\" transform=\"translate(0 -196.116)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"196.116\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C12896T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">14 B\n",
+       "SRR11597220</text></g><g class=\"a31 leaf m24 m64 node n27 s28461 s5129 sample\" transform=\"translate(9.05652 784.463)\"><path class=\"edge\" d=\"M 0 0 V -784.463 H -9.05652\" /><g class=\"mut m24 s5129\" transform=\"translate(0 -522.975)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"522.975\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C5239T</text></g><g class=\"mut m64 s28461\" transform=\"translate(0 -261.488)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"261.488\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C28830A</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">27 B\n",
+       "SRR11597114</text></g><path class=\"edge\" d=\"M 0 0 V -43.5812 H 40.7543\" /><g class=\"mut m44 s17131\" transform=\"translate(0 -21.7906)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"21.7906\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C17373T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">31</text></g><g class=\"a1 c2 m15 node n34 s2948\" transform=\"translate(40.7543 87.1625)\"><g class=\"a34 c4 m42 m59 m60 node n20 s16836 s26862 s27033\" transform=\"translate(-27.1696 392.231)\"><g class=\"a20 leaf node n16 sample\" transform=\"translate(-27.1696 43.5813)\"><path class=\"edge\" d=\"M 0 0 V -43.5813 H 27.1696\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">16 B\n",
        "SRR12162232</text></g><g class=\"a20 leaf node n17 sample\" transform=\"translate(-9.05652 43.5813)\"><path class=\"edge\" d=\"M 0 0 V -43.5813 H 9.05652\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">17 B.1\n",
        "SRR12162233</text></g><g class=\"a20 leaf node n18 sample\" transform=\"translate(9.05652 43.5813)\"><path class=\"edge\" d=\"M 0 0 V -43.5813 H -9.05652\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">18 B.1\n",
        "SRR12162234</text></g><g class=\"a20 leaf node n19 sample\" transform=\"translate(27.1696 43.5813)\"><path class=\"edge\" d=\"M 0 0 V -43.5813 H -27.1696\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">19 B\n",
-       "SRR12162235</text></g><path class=\"edge\" d=\"M 0 0 V -392.231 H 27.1696\" /><g class=\"mut m36 s16836\" transform=\"translate(0 -294.173)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"294.173\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C17074T</text></g><g class=\"mut m53 s26862\" transform=\"translate(0 -196.116)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"196.116\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C27213T</text></g><g class=\"mut m54 s27033\" transform=\"translate(0 -98.0578)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"98.0578\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">T27384C</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab lft\" transform=\"translate(-3 -7.0)\">20</text></g><g class=\"a34 c2 m2 m44 node n44 s176 s23082\" transform=\"translate(27.1696 522.975)\"><g class=\"a44 leaf m31 node n32 s14196 sample\" transform=\"translate(-9.05652 261.487)\"><path class=\"edge\" d=\"M 0 0 V -261.487 H 9.05652\" /><g class=\"mut m31 s14196\" transform=\"translate(0 -130.744)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"130.744\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C14408T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">32 B.1\n",
+       "SRR12162235</text></g><path class=\"edge\" d=\"M 0 0 V -392.231 H 27.1696\" /><g class=\"mut m42 s16836\" transform=\"translate(0 -294.173)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"294.173\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C17074T</text></g><g class=\"mut m59 s26862\" transform=\"translate(0 -196.116)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"196.116\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C27213T</text></g><g class=\"mut m60 s27033\" transform=\"translate(0 -98.0578)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"98.0578\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">T27384C</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab lft\" transform=\"translate(-3 -7.0)\">20</text></g><g class=\"a34 c2 m2 m50 node n44 s176 s23082\" transform=\"translate(27.1696 522.975)\"><g class=\"a44 leaf m37 node n32 s14196 sample\" transform=\"translate(-9.05652 261.487)\"><path class=\"edge\" d=\"M 0 0 V -261.487 H 9.05652\" /><g class=\"mut m37 s14196\" transform=\"translate(0 -130.744)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"130.744\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C14408T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">32 B.1\n",
        "ERR4239266</text></g><g class=\"a44 leaf node n43 sample\" transform=\"translate(9.05652 435.813)\"><path class=\"edge\" d=\"M 0 0 V -435.813 H -9.05652\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">43 B.1\n",
-       "SRR11597196</text></g><path class=\"edge\" d=\"M 0 0 V -522.975 H -27.1696\" /><g class=\"mut m2 s176\" transform=\"translate(0 -348.65)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"348.65\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C241T</text></g><g class=\"mut m44 s23082\" transform=\"translate(0 -174.325)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"174.325\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A23403G</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">44</text></g><path class=\"edge\" d=\"M 0 0 V -87.1625 H -40.7543\" /><g class=\"mut m15 s2948\" transform=\"translate(0 -43.5813)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"43.5813\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C3037T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">34</text></g><g class=\"a1 leaf m14 m18 m4 node n36 s2938 s3689 s796 sample\" transform=\"translate(203.772 958.788)\"><path class=\"edge\" d=\"M 0 0 V -958.788 H -203.772\" /><g class=\"mut m4 s796\" transform=\"translate(0 -719.091)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"719.091\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A871G</text></g><g class=\"mut m14 s2938\" transform=\"translate(0 -479.394)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"479.394\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A3027G</text></g><g class=\"mut m18 s3689\" transform=\"translate(0 -239.697)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"239.697\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C3787T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">36 B\n",
+       "SRR11597196</text></g><path class=\"edge\" d=\"M 0 0 V -522.975 H -27.1696\" /><g class=\"mut m2 s176\" transform=\"translate(0 -348.65)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"348.65\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C241T</text></g><g class=\"mut m50 s23082\" transform=\"translate(0 -174.325)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"174.325\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A23403G</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">44</text></g><path class=\"edge\" d=\"M 0 0 V -87.1625 H -40.7543\" /><g class=\"mut m15 s2948\" transform=\"translate(0 -43.5813)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"43.5813\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C3037T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">34</text></g><g class=\"a1 leaf m14 m18 m4 node n36 s2938 s3689 s796 sample\" transform=\"translate(203.772 958.788)\"><path class=\"edge\" d=\"M 0 0 V -958.788 H -203.772\" /><g class=\"mut m4 s796\" transform=\"translate(0 -719.091)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"719.091\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A871G</text></g><g class=\"mut m14 s2938\" transform=\"translate(0 -479.394)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"479.394\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">A3027G</text></g><g class=\"mut m18 s3689\" transform=\"translate(0 -239.697)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"239.697\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C3787T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">36 B\n",
        "SRR11597188</text></g><g class=\"a1 c3 m10 node n39 s2206\" transform=\"translate(239.998 915.206)\"><g class=\"a39 leaf node n37 sample\" transform=\"translate(-18.113 43.5812)\"><path class=\"edge\" d=\"M 0 0 V -43.5812 H 18.113\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">37 B\n",
        "SRR11597136</text></g><g class=\"a39 leaf node n38 sample\" transform=\"translate(0.0 43.5812)\"><path class=\"edge\" d=\"M 0 0 V -43.5812 H 0.0\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">38 B\n",
        "SRR11597175</text></g><g class=\"a39 leaf node n56 sample\" transform=\"translate(18.113 392.231)\"><path class=\"edge\" d=\"M 0 0 V -392.231 H -18.113\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">56 B\n",
-       "SRR11597207</text></g><path class=\"edge\" d=\"M 0 0 V -915.206 H -239.998\" /><g class=\"mut m10 s2206\" transform=\"translate(0 -457.603)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"457.603\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G2293T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">39</text></g><g class=\"a1 c2 m6 node n45 s1114\" transform=\"translate(176.602 130.744)\"><g class=\"a45 leaf m49 node n35 s25986 sample\" transform=\"translate(-9.05652 828.044)\"><path class=\"edge\" d=\"M 0 0 V -828.044 H 9.05652\" /><g class=\"mut m49 s25986\" transform=\"translate(0 -414.022)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"414.022\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C26333T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">35 B\n",
+       "SRR11597207</text></g><path class=\"edge\" d=\"M 0 0 V -915.206 H -239.998\" /><g class=\"mut m10 s2206\" transform=\"translate(0 -457.603)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"457.603\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G2293T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">39</text></g><g class=\"a1 c2 m6 node n45 s1114\" transform=\"translate(176.602 130.744)\"><g class=\"a45 leaf m26 m27 m28 m55 node n35 s25986 s7117 s7118 s7119 sample\" transform=\"translate(-9.05652 828.044)\"><path class=\"edge\" d=\"M 0 0 V -828.044 H 9.05652\" /><g class=\"mut m26 s7117\" transform=\"translate(0 -662.435)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"662.435\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">T7260-</text></g><g class=\"mut m27 s7118\" transform=\"translate(0 -496.826)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"496.826\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">T7261-</text></g><g class=\"mut m28 s7119\" transform=\"translate(0 -331.218)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"331.218\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C7262-</text></g><g class=\"mut m55 s25986\" transform=\"translate(0 -165.609)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"165.609\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C26333T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">35 B\n",
        "SRR11597174</text></g><g class=\"a45 leaf node n42 sample\" transform=\"translate(9.05652 915.206)\"><path class=\"edge\" d=\"M 0 0 V -915.206 H -9.05652\" /><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">42 B\n",
-       "SRR11597178</text></g><path class=\"edge\" d=\"M 0 0 V -130.744 H -176.602\" /><g class=\"mut m6 s1114\" transform=\"translate(0 -65.3719)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"65.3719\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C1190T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">45</text></g><g class=\"a1 leaf m57 m64 m66 m7 m9 node n47 s1321 s1727 s28320 s29286 s29357 sample\" transform=\"translate(312.45 1089.53)\"><path class=\"edge\" d=\"M 0 0 V -1089.53 H -312.45\" /><g class=\"mut m7 s1321\" transform=\"translate(0 -907.943)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"907.943\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G1397A</text></g><g class=\"mut m9 s1727\" transform=\"translate(0 -726.354)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"726.354\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G1805A</text></g><g class=\"mut m57 s28320\" transform=\"translate(0 -544.766)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"544.766\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">T28688C</text></g><g class=\"mut m64 s29286\" transform=\"translate(0 -363.177)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"363.177\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C29670T</text></g><g class=\"mut m66 s29357\" transform=\"translate(0 -181.589)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"181.589\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G29742T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">47 B.4\n",
-       "SRR11597150</text></g><g class=\"a1 c2 m34 m62 node n52 s15102 s28925\" transform=\"translate(285.28 653.719)\"><g class=\"a52 leaf m20 node n41 s4918 sample\" transform=\"translate(-9.05652 392.231)\"><path class=\"edge\" d=\"M 0 0 V -392.231 H 9.05652\" /><g class=\"mut m20 s4918\" transform=\"translate(0 -196.116)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"196.116\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab lft\" transform=\"translate(-5 0)\">C5025T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">41 B\n",
+       "SRR11597178</text></g><path class=\"edge\" d=\"M 0 0 V -130.744 H -176.602\" /><g class=\"mut m6 s1114\" transform=\"translate(0 -65.3719)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"65.3719\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C1190T</text></g><circle class=\"sym\" cx=\"0\" cy=\"0\" r=\"3\" /><text class=\"lab rgt\" transform=\"translate(3 -7.0)\">45</text></g><g class=\"a1 leaf m63 m7 m70 m72 m9 node n47 s1321 s1727 s28320 s29286 s29357 sample\" transform=\"translate(312.45 1089.53)\"><path class=\"edge\" d=\"M 0 0 V -1089.53 H -312.45\" /><g class=\"mut m7 s1321\" transform=\"translate(0 -907.943)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"907.943\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G1397A</text></g><g class=\"mut m9 s1727\" transform=\"translate(0 -726.354)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"726.354\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G1805A</text></g><g class=\"mut m63 s28320\" transform=\"translate(0 -544.766)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"544.766\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">T28688C</text></g><g class=\"mut m70 s29286\" transform=\"translate(0 -363.177)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"363.177\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">C29670T</text></g><g class=\"mut m72 s29357\" transform=\"translate(0 -181.589)\"><line x1=\"0\" x2=\"0\" y1=\"0\" y2=\"181.589\" /><path class=\"sym\" d=\"M -3,-3 l 6,6 M -3,3 l 6,-6\" /><text class=\"lab rgt\" transform=\"translate(5 0)\">G29742T</text></g><rect class=\"sym\" height=\"6\" width=\"6\" x=\"-3\" y=\"-3\" /><text class=\"lab\" transform=\"translate(0 11)\">47 B.4\n",
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      },
      "execution_count": 9,
@@ -454,7 +436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -473,7 +455,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -501,16 +483,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Counting descendants : 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 62/62 [00:00<00:00, 844307.95it/s]\n",
-      "Indexing metadata    : 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 62/62 [00:00<00:00, 37363.05it/s]\n",
-      "Classifying mutations: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 68/68 [00:00<00:00, 107627.42it/s]\n"
+      "Counting descendants : 100%|███████████████████████████████████████████████████████| 62/62 [00:00<00:00, 509895.78it/s]\n",
+      "Indexing metadata    :   0%|                                                                    | 0/62 [00:00<?, ?it/s]/home/jk/work/github/sc2ts/notebooks/../sc2ts/info.py:469: UserWarning: Node QC metadata not available\n",
+      "  warnings.warn(\"Node QC metadata not available\")\n",
+      "Indexing metadata    : 100%|████████████████████████████████████████████████████████| 62/62 [00:00<00:00, 23414.99it/s]\n",
+      "Classifying mutations: 100%|███████████████████████████████████████████████████████| 77/77 [00:00<00:00, 106658.32it/s]\n"
      ]
     },
     {
@@ -576,7 +560,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mutations</th>\n",
-       "      <td>68</td>\n",
+       "      <td>77</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>recurrent</th>\n",
@@ -592,7 +576,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>private_mutations</th>\n",
-       "      <td>47</td>\n",
+       "      <td>56</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>transitions</th>\n",
@@ -608,7 +592,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>deletions</th>\n",
-       "      <td>1</td>\n",
+       "      <td>10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max_mutations_parents</th>\n",
@@ -620,7 +604,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sites_with_zero_muts</th>\n",
-       "      <td>29350</td>\n",
+       "      <td>29341</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max_mutations_per_site</th>\n",
@@ -628,7 +612,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean_mutations_per_site</th>\n",
-       "      <td>0.002312</td>\n",
+       "      <td>0.002618</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>median_mutations_per_site</th>\n",
@@ -644,11 +628,11 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max_masked_sites_per_sample</th>\n",
-       "      <td>858</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean_masked_sites_per_sample</th>\n",
-       "      <td>447.612245</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max_masked_samples_per_site</th>\n",
@@ -656,7 +640,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean_masked_samples_per_site</th>\n",
-       "      <td>0.439338</td>\n",
+       "      <td>0.39229</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max_samples_per_day</th>\n",
@@ -671,10 +655,10 @@
        "</div>"
       ],
       "text/plain": [
-       "<sc2ts.info.TreeInfo at 0x7f270bc635e0>"
+       "<sc2ts.info.TreeInfo at 0x7fd7c87538b0>"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -686,12 +670,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x400 with 1 Axes>"
       ]
@@ -706,12 +690,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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z2Vi+fLkRHBxsjBs3ztizZ48hyfj5558t5U+dOmVUqlTJ+OKLLwzDMIzWrVsbU6ZMsVn3qlWrDEnG2bNnDcMwjA8//NAIDw8vVC42NtZ49dVXDcMwjGXLlhn+/v5GQkKCZf327dsNScZvv/1mGIZhTJ482ahcubKRmppqKTN+/HijU6dORe7nXXfdZVx77bVWy8aPH2+0aNHCKo67777b8thsNhu1a9c2Zs2aZbPO1NRUIzAw0FiwYIFlWXJyslG5cmVj1KhRhmEYxqFDhwx/f3/j6NGjVs/t1auXMWHCBMMwLhwXSca+ffss69966y0jMjLS8rhOnTrG888/b1XHFVdcYTzyyCOGYRhGfHy8IcmYPXu2Zf3nn39uSDJWrFhhWTZt2jSjWbNmlseNGjUyPvvsM6t6n3vuOaNLly429xkAAMAbMAYlAACAl1myZIlCQ0OVk5Mjs9msu+66S1OmTNGKFSsUEBCgTp06WcrWqFFDzZo1086dOyVJjz32mB5++GEtW7ZMvXv31j//+U+1adOm1LHs3LlTMTExiomJsSxr0aKFIiIitHPnTl1xxRWSLtyOXbVqVUuZ6OhonThxoth6+/fvb7WsW7dumjlzpvLy8uTv7y9JVrGbTCZFRUUVWe+BAweUk5OjK6+80rIsPDxczZo1szzeunWr8vLy1LRpU6vnZmVlqUaNGpbHlStXVqNGjWzuT2pqqo4dO6Zu3boViv+vv/6yWlYw/sjISElS69atrZbl15uRkaH9+/dr2LBhGj58uKVMbm6uZWIjAAAAb0SCEgAAwMtcc801mjVrloKCglSnTh0FBNjfpLv//vvVp08ffffdd1q2bJmmTZumV155RY8++qgLI5YCAwOtHptMJpnNZo+rNz09Xf7+/vrjjz8sSdB8BW+Ft7VdwzAc3l7Bekwmk81l+fuTnp4uSXr//fetktCSCsUKAADgTRiDEgAAwMtUqVJFjRs3Vv369a2Sk82bN1dubq5+/fVXy7LTp09r9+7datGihWVZTEyMHnroIS1cuFBjx47V++//f3v3EwrvFsdx/EOZNDVE/hQlBqOnDMa/GspsZjEyxc5iaiiUKMmkrEzYycjCRleNjcKOhWwmC00Wo1gJC5vZsRhTLJTJ3U2Je3Op39Pl/apn8ZxO53zPs/x0znP++nAei8WiTCbzr7UYhqFkMqlkMpltu7y81MPDw5s5/yvDMBSPx9+0xeNxORyOL4dxdrtdeXl5SiQS2bZ0Oq2bm5vsu8vlUiaT0d3dnerq6t48n7nhXJIKCgpUUVHxYf3f+Sbl5eWqqKjQ7e3tu9pqamq+PC4AAIDZ2EEJAADwQ9TX16u/v19jY2Pa2NiQzWbT3NycKisrs8elp6en1dvbK4fDoVQqpePjYxmG8eF41dXVenx8VCwWU3Nzs6xWq6xW65s+Xq9XTqdTgUBAa2trenl50cTEhDwej9rb27+8llAopI6ODi0tLWlwcFCnp6daX1//1o3VNptNQ0NDmp2dVXFxscrKyhQOh5Wbm5vdvehwOBQIBBQMBhWJRORyuXR/f69YLKampib19fV9aq7Z2VmFw2HV1taqpaVF0WhUFxcX2t7e/nL9krSwsKCpqSkVFhbK5/Pp+flZZ2dnSqVSmpmZ+dbYAAAAZmEHJQAAwA8SjUbV1tYmv98vt9ut19dXHR4eZo8NZzIZTU5OyjAM+Xw+ORyOfwz9urq6ND4+rsHBQZWWlmp5efldn5ycHO3v76uoqEg9PT3yer2y2+3a3d391jpaW1u1t7ennZ0dNTY2an5+XouLixoeHv7WuKurq3K73fL7/fJ6veru7pZhGMrPz8/2iUajCgaDCoVCamho0MDAgBKJhKqqqj49z9TUlGZmZhQKheR0OnV0dKSDgwPV19d/q/7R0VFtbm4qGo3K6XTK4/Foa2uLHZQAAOB/Lef1Kz/LAQAAAH6Ap6cnVVZWKhKJaGRkxOxyAAAAfiWOeAMAAODXOD8/19XVlTo7O5VOp7W4uChJ724MBwAAwJ9DQAkAAIBfZWVlRdfX17JYLGpra9PJyYlKSkrMLgsAAODX4og3AAAAAAAAANNwSQ4AAAAAAAAA0xBQAgAAAAAAADANASUAAAAAAAAA0xBQAgAAAAAAADANASUAAAAAAAAA0xBQAgAAAAAAADANASUAAAAAAAAA0xBQAgAAAAAAADDN3xYaGywSJYOrAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1600x400 with 1 Axes>"
       ]
@@ -723,6 +707,124 @@
    "source": [
     "ti.plot_masked_samples_per_site()"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Deletions\n",
+    "\n",
+    "We have 4 different deletion events: 1 bp at 1470, and 3 3p deletions at 3852, 7117 and 29364"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "        <div>\n",
+       "            <style scoped=\"\">\n",
+       "                .tskit-table tbody tr th:only-of-type {vertical-align: middle;}\n",
+       "                .tskit-table tbody tr th {vertical-align: top;}\n",
+       "                .tskit-table tbody td {text-align: right;padding: 0.5em 0.5em;}\n",
+       "                .tskit-table tbody th {padding: 0.5em 0.5em;}\n",
+       "            </style>\n",
+       "            <table border=\"1\" class=\"tskit-table\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <th>id</th><th>site</th><th>node</th><th>time</th><th>derived_state</th><th>parent</th><th>metadata</th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    <tr><td>0</td><td>1470</td><td>28</td><td>11</td><td>-</td><td>-1</td><td>{'sc2ts': {'group_id': 'fc2507ade37c3...</td></tr>\n",
+       "<tr><td>1</td><td>3852</td><td>29</td><td>11</td><td>-</td><td>-1</td><td>{'sc2ts': {'group_id': 'fc2507ade37c3...</td></tr>\n",
+       "<tr><td>2</td><td>3853</td><td>29</td><td>11</td><td>-</td><td>-1</td><td>{'sc2ts': {'group_id': 'fc2507ade37c3...</td></tr>\n",
+       "<tr><td>3</td><td>3854</td><td>29</td><td>11</td><td>-</td><td>-1</td><td>{'sc2ts': {'group_id': 'fc2507ade37c3...</td></tr>\n",
+       "<tr><td>4</td><td>7117</td><td>35</td><td>9</td><td>-</td><td>-1</td><td>{'sc2ts': {'group_id': '2f508c7ba0538...</td></tr>\n",
+       "<tr><td>5</td><td>7118</td><td>35</td><td>9</td><td>-</td><td>-1</td><td>{'sc2ts': {'group_id': '2f508c7ba0538...</td></tr>\n",
+       "<tr><td>6</td><td>7119</td><td>35</td><td>9</td><td>-</td><td>-1</td><td>{'sc2ts': {'group_id': '2f508c7ba0538...</td></tr>\n",
+       "<tr><td>7</td><td>29364</td><td>57</td><td>2</td><td>-</td><td>-1</td><td>{'sc2ts': {'group_id': '8f23d04fb6785...</td></tr>\n",
+       "<tr><td>8</td><td>29365</td><td>57</td><td>2</td><td>-</td><td>-1</td><td>{'sc2ts': {'group_id': '8f23d04fb6785...</td></tr>\n",
+       "<tr><td>9</td><td>29366</td><td>57</td><td>2</td><td>-</td><td>-1</td><td>{'sc2ts': {'group_id': '8f23d04fb6785...</td></tr>\n",
+       "\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<tskit.tables.MutationTable at 0x7fd7c828ae90>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ts.tables.mutations[ti.mutations_derived_state == \"-\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Samples with one mutation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SRR11597154 1 [{'derived_state': 'T', 'inherited_state': 'C', 'site_position': 24370}]\n",
+      "SRR11597151 9 [{'derived_state': 'A', 'inherited_state': 'T', 'site_position': 9477}]\n",
+      "SRR11597146 9 [{'derived_state': 'T', 'inherited_state': 'C', 'site_position': 29095}]\n",
+      "ERR4206593 54 [{'derived_state': 'T', 'inherited_state': 'C', 'site_position': 26994}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "s = ts.samples()[ti.nodes_num_mutations[ts.samples()] == 1]\n",
+    "for u in s:\n",
+    "    md = ti.nodes_metadata[u]\n",
+    "    hmm = md[\"sc2ts\"][\"hmm_match\"]\n",
+    "    muts = hmm[\"mutations\"]\n",
+    "    if len(muts) == 1:\n",
+    "        print(md[\"strain\"], hmm[\"path\"][0][\"parent\"], muts)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([3, 0, 2, 1, 2, 3, 2, 3, 1, 4, 2, 4, 4, 1, 5, 3, 2, 0, 0, 3, 2, 0,\n",
+       "       0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
+       "       0, 0, 0, 0, 0, 1])"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ti.num_samples_per_day"
+   ]
   }
  ],
  "metadata": {
diff --git a/sc2ts/alignments.py b/sc2ts/alignments.py
index 05d373b..79cc150 100644
--- a/sc2ts/alignments.py
+++ b/sc2ts/alignments.py
@@ -1,12 +1,8 @@
 import logging
-import pathlib
-import dataclasses
 import collections.abc
-import hashlib
 import bz2
 
 import lmdb
-import numba
 import tqdm
 import numpy as np
 
@@ -14,38 +10,6 @@
 
 logger = logging.getLogger(__name__)
 
-GAP = core.ALLELES.index("-")
-MISSING = -1
-
-
-@numba.njit
-def mask_alignment(a, start=0, window_size=7):
-    """
-    Following the approach in fa2vcf, if any base is has two or more ambiguous
-    or gap characters with distance window_size of it, mark it as missing data.
-    """
-    if window_size < 1:
-        raise ValueError("Window must be >= 1")
-    b = a.copy()
-    n = len(a)
-    masked_sites = []
-    for j in range(start, n):
-        ambiguous = 0
-        k = j - 1
-        while k >= start and k >= j - window_size:
-            if b[k] == GAP or b[k] == MISSING:
-                ambiguous += 1
-            k -= 1
-        k = j + 1
-        while k < n and k <= j + window_size:
-            if b[k] == GAP or b[k] == MISSING:
-                ambiguous += 1
-            k += 1
-        if ambiguous > 1:
-            a[j] = MISSING
-            masked_sites.append(j)
-    return masked_sites
-
 
 def encode_alignment(h):
     # Map anything that's not ACGT- to N
@@ -62,20 +26,6 @@ def decode_alignment(a):
     return alleles[a]
 
 
-def base_composition(haplotype, excluded_sites=None):
-    """
-    Haplotype includes an arbitrary character at the start.
-    Also, excluded site positions are 1-based.
-    """
-    if excluded_sites is not None:
-        mask = np.zeros(len(haplotype), dtype=bool)
-        mask[excluded_sites] = True
-        # Remove the first site from both haplotype and mask.
-        masked_haplotype = haplotype[1:][~mask[1:]]
-        return collections.Counter(masked_haplotype)
-    return collections.Counter(haplotype[1:])
-
-
 def compress_alignment(a):
     return bz2.compress(a.astype("S"))
 
@@ -147,36 +97,3 @@ def __iter__(self):
     def __len__(self):
         with self.env.begin() as txn:
             return txn.stat()["entries"]
-
-
-@dataclasses.dataclass
-class MaskedAlignment:
-    alignment: np.ndarray
-    masked_sites: np.ndarray
-    original_base_composition: dict
-    original_md5: str
-    masked_base_composition: str
-
-    def qc_summary(self):
-        return {
-            "num_masked_sites": self.masked_sites.shape[0],
-            "original_base_composition": self.original_base_composition,
-            "original_md5": self.original_md5,
-            "masked_base_composition": self.masked_base_composition,
-        }
-
-
-def encode_and_mask(alignment, window_size=7):
-    # TODO make window_size param
-    a = encode_alignment(alignment)
-    masked_sites = mask_alignment(a, start=1, window_size=window_size)
-    return MaskedAlignment(
-        alignment=a,
-        masked_sites=np.array(masked_sites, dtype=int),
-        original_base_composition=base_composition(haplotype=alignment),
-        original_md5=hashlib.md5(alignment[1:]).hexdigest(),
-        masked_base_composition=base_composition(
-            haplotype=alignment,
-            excluded_sites=masked_sites,
-        ),
-    )
diff --git a/sc2ts/cli.py b/sc2ts/cli.py
index 69f761c..9663f5e 100644
--- a/sc2ts/cli.py
+++ b/sc2ts/cli.py
@@ -350,6 +350,14 @@ def summarise_base(ts, date, progress):
         "is greater than this, randomly subsample."
     ),
 )
+@click.option(
+    "--max-missing-sites",
+    default=None,
+    type=int,
+    help=(
+        "The maximum number of missing sites in a sample to be accepted for inclusion"
+    ),
+)
 @click.option(
     "--random-seed",
     default=42,
@@ -386,6 +394,7 @@ def extend(
     min_root_mutations,
     retrospective_window,
     max_daily_samples,
+    max_missing_sites,
     num_threads,
     random_seed,
     progress,
@@ -427,6 +436,7 @@ def extend(
             min_root_mutations=min_root_mutations,
             retrospective_window=retrospective_window,
             max_daily_samples=max_daily_samples,
+            max_missing_sites=max_missing_sites,
             random_seed=random_seed,
             num_threads=num_threads,
             show_progress=progress,
diff --git a/sc2ts/inference.py b/sc2ts/inference.py
index d02eb3c..54c5682 100644
--- a/sc2ts/inference.py
+++ b/sc2ts/inference.py
@@ -282,7 +282,7 @@ def initial_ts(additional_problematic_sites=list()):
     # 1-based coordinates
     for pos in range(1, L):
         if pos not in problematic_sites:
-            tables.sites.add_row(pos, reference[pos], metadata={"masked_samples": 0})
+            tables.sites.add_row(pos, reference[pos], metadata={"missing_samples": 0})
     # TODO should probably make the ultimate ancestor time something less
     # plausible or at least configurable. However, this will be removed
     # in later versions when we remove the dependence on tsinfer.
@@ -332,12 +332,8 @@ class Sample:
     date: str
     pango: str = "Unknown"
     metadata: Dict = dataclasses.field(default_factory=dict)
-    alignment_qc: Dict = dataclasses.field(default_factory=dict)
-    masked_sites: List = dataclasses.field(default_factory=list)
-    # FIXME need a better name for this, as it's a different thing
-    # the original alignment. Haplotype is probably good, as it's
-    # what it would be in the tskit/tsinfer world.
-    alignment: List = None
+    alignment_composition: Dict = None
+    haplotype: List = None
     hmm_match: HmmMatch = None
     hmm_reruns: Dict = dataclasses.field(default_factory=dict)
 
@@ -345,6 +341,10 @@ class Sample:
     def is_recombinant(self):
         return len(self.hmm_match.path) > 1
 
+    @property
+    def num_missing_sites(self):
+        return int(np.sum(self.haplotype == -1))
+
     def summary(self):
         hmm_match = "No match" if self.hmm_match is None else self.hmm_match.summary()
         s = f"{self.strain} {self.date} {self.pango} {hmm_match}"
@@ -471,6 +471,22 @@ def check_base_ts(ts):
     assert len(sc2ts_md["samples_strain"]) == ts.num_samples
 
 
+def make_sample(strain, date, pango, metadata, alignment):
+
+    sample = Sample(
+        strain,
+        date,
+        pango,
+        metadata,
+        haplotype=alignments.encode_alignment(alignment),
+        # Need to do this here because encoding gets rid of
+        # ambiguous bases etc.
+        alignment_composition=collections.Counter(alignment),
+    )
+
+    return sample
+
+
 def preprocess(
     samples_md,
     base_ts,
@@ -478,9 +494,9 @@ def preprocess(
     alignment_store,
     pango_lineage_key="pango",
     show_progress=False,
+    max_missing_sites=np.inf,
 ):
     keep_sites = base_ts.sites_position.astype(int)
-    problematic_sites = core.get_problematic_sites()
 
     samples = []
     with get_progress(samples_md, date, "preprocess", show_progress) as bar:
@@ -491,29 +507,17 @@ def preprocess(
             except KeyError:
                 logger.debug(f"No alignment stored for {strain}")
                 continue
-            sample = Sample(
-                strain, date, md.get(pango_lineage_key, "PangoUnknown"), metadata=md
-            )
-            ma = alignments.encode_and_mask(alignment)
-            # Always mask the problematic_sites as well. We need to do this
-            # for follow-up matching to inspect recombinants, as tsinfer
-            # needs us to keep all sites in the table when doing mirrored
-            # coordinates.
-            ma.alignment[problematic_sites] = -1
-            sample.alignment_qc = ma.qc_summary()
-            sample.masked_sites = ma.masked_sites
-            sample.alignment = ma.alignment[keep_sites]
-            samples.append(sample)
-            num_Ns = ma.original_base_composition.get("N", 0)
-            non_nuc_counts = dict(ma.original_base_composition)
-            for nuc in "ACGT":
-                non_nuc_counts.pop(nuc, None)
-                counts = ",".join(
-                    f"{key}={count}" for key, count in sorted(non_nuc_counts.items())
+            pango = md.get(pango_lineage_key, "PangoUnknown")
+            # NOTE everything we store about the sample is **excluding** the problematic_sites
+            sample = make_sample(strain, date, pango, md, alignment[keep_sites])
+            num_missing_sites = sample.num_missing_sites
+            logger.debug(f"Encoded {strain} {pango} missing={num_missing_sites}")
+            if sample.num_missing_sites <= max_missing_sites:
+                samples.append(sample)
+            else:
+                logger.debug(
+                    f"Filter {strain}: missing={num_missing_sites} > {max_missing_sites}"
                 )
-            num_masked = len(ma.masked_sites)
-            logger.debug(f"Mask {strain}: masked={num_masked} {counts}")
-
     return samples
 
 
@@ -531,6 +535,7 @@ def extend(
     max_daily_samples=None,
     show_progress=False,
     retrospective_window=None,
+    max_missing_sites=None,
     random_seed=42,
     num_threads=0,
 ):
@@ -544,6 +549,8 @@ def extend(
         min_root_mutations = 2
     if retrospective_window is None:
         retrospective_window = 30
+    if max_missing_sites is None:
+        max_missing_sites = np.inf
 
     check_base_ts(base_ts)
     logger.info(
@@ -554,35 +561,25 @@ def extend(
     metadata_matches = list(metadata_db.get(date))
 
     logger.info(f"Got {len(metadata_matches)} metadata matches")
-    # first check for samples that are in the alignment_store
-    samples_with_aligments = []
-    for md in metadata_matches:
-        if md["strain"] in alignment_store:
-            samples_with_aligments.append(md)
-
-    logger.info(f"Verified {len(samples_with_aligments)} have alignments")
-    # metadata_matches = list(
-    #     metadata_db.query("SELECT * FROM samples WHERE strain=='SRR19463295'")
-    # )
-    if max_daily_samples is not None:
-        if max_daily_samples < len(samples_with_aligments):
-            seed_prefix = bytes(np.array([random_seed], dtype=int).data)
-            seed_suffix = hashlib.sha256(date.encode()).digest()
-            rng = random.Random(seed_prefix + seed_suffix)
-            samples_with_aligments = rng.sample(
-                samples_with_aligments, max_daily_samples
-            )
-            logger.info(f"Subset to {len(metadata_matches)} samples")
 
     samples = preprocess(
-        samples_with_aligments,
+        metadata_matches,
         base_ts,
         date,
         alignment_store,
         pango_lineage_key="Viridian_pangolin",  # TODO parametrise
         show_progress=show_progress,
+        max_missing_sites=max_missing_sites,
     )
 
+    if max_daily_samples is not None:
+        if max_daily_samples < len(samples):
+            seed_prefix = bytes(np.array([random_seed], dtype=int).data)
+            seed_suffix = hashlib.sha256(date.encode()).digest()
+            rng = random.Random(seed_prefix + seed_suffix)
+            samples = rng.sample(samples, max_daily_samples)
+            logger.info(f"Subset to {len(metadata_matches)} samples")
+
     if len(samples) == 0:
         logger.warning(f"Nothing to do for {date}")
         return base_ts
@@ -657,7 +654,8 @@ def add_sample_to_tables(sample, tables, flags=tskit.NODE_IS_SAMPLE, group_id=No
     sc2ts_md = {
         "hmm_match": sample.hmm_match.asdict(),
         "hmm_reruns": {k: m.asdict() for k, m in sample.hmm_reruns.items()},
-        "qc": sample.alignment_qc,
+        "alignment_composition": dict(sample.alignment_composition),
+        "num_missing_sites": sample.num_missing_sites,
     }
     if group_id is not None:
         sc2ts_md["group_id"] = group_id
@@ -793,7 +791,7 @@ def add_matching_results(
 
     # Group matches by path and set of immediate reversions.
     grouped_matches = collections.defaultdict(list)
-    site_masked_samples = np.zeros(int(ts.sequence_length), dtype=int)
+    site_missing_samples = np.zeros(int(ts.sequence_length), dtype=int)
     num_samples = 0
     for sample in match_db.get(where_clause):
         path = tuple(sample.hmm_match.path)
@@ -841,7 +839,8 @@ def add_matching_results(
                 continue
 
             for sample in group:
-                site_masked_samples[sample.masked_sites] += 1
+                missing_sites = np.where(sample.haplotype == -1)[0]
+                site_missing_samples[missing_sites] += 1
 
             flat_ts = match_path_ts(group)
             if flat_ts.num_mutations == 0 or flat_ts.num_samples == 1:
@@ -881,7 +880,7 @@ def add_matching_results(
     tables.sites.clear()
     for site in ts.sites():
         md = site.metadata
-        md["masked_samples"] += int(site_masked_samples[int(site.position)])
+        md["missing_samples"] += int(site_missing_samples[int(site.position)])
         tables.sites.append(site.replace(metadata=md))
 
     # NOTE: Doing the parsimony hueristic updates really is complicated a lot
@@ -1074,7 +1073,7 @@ def match_tsinfer(
 ):
     if len(samples) == 0:
         return []
-    genotypes = np.array([sample.alignment for sample in samples], dtype=np.int8).T
+    genotypes = np.array([sample.haplotype for sample in samples], dtype=np.int8).T
     input_ts = ts
     if mirror_coordinates:
         ts = mirror_ts_coordinates(ts)
diff --git a/sc2ts/info.py b/sc2ts/info.py
index 8704924..d539530 100644
--- a/sc2ts/info.py
+++ b/sc2ts/info.py
@@ -372,7 +372,7 @@ def __init__(
 
         self.nodes_max_descendant_samples = None
         self.nodes_date = None
-        self.nodes_num_masked_sites = None
+        self.nodes_num_missing_sites = None
         self.nodes_metadata = None
 
         top_level_md = ts.metadata["sc2ts"]
@@ -427,7 +427,7 @@ def _preprocess_nodes(self, show_progress):
             ts, show_progress=show_progress
         )
         self.nodes_date = np.zeros(ts.num_nodes, dtype="datetime64[D]")
-        self.nodes_num_masked_sites = np.zeros(ts.num_nodes, dtype=np.int32)
+        self.nodes_num_missing_sites = np.zeros(ts.num_nodes, dtype=np.int32)
         self.nodes_metadata = {}
         self.nodes_sample_group = collections.defaultdict(list)
         samples = ts.samples()
@@ -448,25 +448,15 @@ def _preprocess_nodes(self, show_progress):
             md = node.metadata
             self.nodes_metadata[node.id] = md
             group_id = None
-            try:
-                sc2ts_md = md["sc2ts"]
-                group_id = sc2ts_md.get("group_id", None)
-            except KeyError:
-                warnings.warn("Node sc2ts metadata not available")
-
+            sc2ts_md = md["sc2ts"]
+            group_id = sc2ts_md.get("group_id", None)
             if group_id is not None:
                 self.nodes_sample_group[group_id].append(node.id)
-
             if node.is_sample():
                 self.nodes_date[node.id] = md["date"]
                 pango = md.get(self.pango_source, "unknown")
                 self.pango_lineage_samples[pango].append(node.id)
-                try:
-                    qc = md["sc2ts"]["qc"]
-                    self.nodes_num_masked_sites[node.id] = qc["num_masked_sites"]
-                except KeyError:
-                    if node.id > 1:
-                        warnings.warn("Node QC metadata not available")
+                self.nodes_num_missing_sites[node.id] = sc2ts_md.get("num_missing_sites", 0)
             else:
                 # Rounding down here, might be misleading
                 self.nodes_date[node.id] = self.time_zero_as_date - int(
@@ -474,10 +464,10 @@ def _preprocess_nodes(self, show_progress):
                 )
 
     def _preprocess_sites(self, show_progress):
-        self.sites_num_masked_samples = np.zeros(self.ts.num_sites, dtype=int)
+        self.sites_num_missing_samples = np.zeros(self.ts.num_sites, dtype=int)
         if self.ts.table_metadata_schemas.site.schema is not None:
             for site in self.ts.sites():
-                self.sites_num_masked_samples[site.id] = site.metadata["masked_samples"]
+                self.sites_num_missing_samples[site.id] = site.metadata["missing_samples"]
         else:
             warnings.warn("Site QC metadata unavailable")
 
@@ -597,7 +587,7 @@ def summary(self):
         nodes_with_zero_muts = np.sum(self.nodes_num_mutations == 0)
         sites_with_zero_muts = np.sum(self.sites_num_mutations == 0)
         latest_sample = self.nodes_date[samples[-1]]
-        masked_sites_per_sample = self.nodes_num_masked_sites[samples]
+        missing_sites_per_sample = self.nodes_num_missing_sites[samples]
         non_samples = (self.ts.nodes_flags & tskit.NODE_IS_SAMPLE) == 0
         max_non_sample_mutations = np.max(self.nodes_num_mutations[non_samples])
         insertions = np.sum(self.mutations_inherited_state == "-")
@@ -629,10 +619,10 @@ def summary(self):
             ("median_mutations_per_site", np.median(self.sites_num_mutations)),
             ("max_mutations_per_node", np.max(self.nodes_num_mutations)),
             ("max_mutations_per_non_sample_node", max_non_sample_mutations),
-            ("max_masked_sites_per_sample", np.max(masked_sites_per_sample)),
-            ("mean_masked_sites_per_sample", np.mean(masked_sites_per_sample)),
-            ("max_masked_samples_per_site", np.max(self.sites_num_masked_samples)),
-            ("mean_masked_samples_per_site", np.mean(self.sites_num_masked_samples)),
+            ("max_missing_sites_per_sample", np.max(missing_sites_per_sample)),
+            ("mean_missing_sites_per_sample", np.mean(missing_sites_per_sample)),
+            ("max_missing_samples_per_site", np.max(self.sites_num_missing_samples)),
+            ("mean_missing_samples_per_site", np.mean(self.sites_num_missing_samples)),
             ("max_samples_per_day", np.max(self.num_samples_per_day)),
             ("mean_samples_per_day", np.mean(self.num_samples_per_day)),
         ]
@@ -804,7 +794,7 @@ def recombinants_summary(self):
         df = self._collect_node_data(self.recombinants)
         if len(df) == 0:
             return
-        sample_map = get_recombinant_samples(self.ts)
+        # sample_map = get_recombinant_samples(self.ts)
         causal_strain = []
         causal_pango = []
         causal_date = []
@@ -1209,9 +1199,9 @@ def plot_mutations_per_node_distribution(self):
         plt.xlabel("Number of mutations")
         plt.ylabel("Number of nodes")
 
-    def plot_masked_sites_per_sample(self):
+    def plot_missing_sites_per_sample(self):
         # plt.title(f"Nodes with >= 10 muts: {nodes_with_many_muts}")
-        plt.hist(self.nodes_num_masked_sites[self.ts.samples()], rwidth=0.9)
+        plt.hist(self.nodes_num_missing_sites[self.ts.samples()], rwidth=0.9)
         # plt.xlabel("Number of mutations")
         # plt.ylabel("Number of nodes")
 
@@ -1345,10 +1335,10 @@ def plot_mutations_per_site(self, annotate_threshold=0.9):
         plt.ylabel("Number of mutations")
         plt.xlabel("Position on genome")
 
-    def plot_masked_samples_per_site(self, annotate_threshold=0.5):
+    def plot_missing_samples_per_site(self, annotate_threshold=0.5):
         fig, ax = plt.subplots(1, 1, figsize=(16, 4))
         self._add_genes_to_axis(ax)
-        count = self.sites_num_masked_samples
+        count = self.sites_num_missing_samples
         pos = self.ts.sites_position
         ax.plot(pos, count)
         threshold = np.max(count) * annotate_threshold
diff --git a/sc2ts/validation.py b/sc2ts/validation.py
index 62f840d..0eee724 100644
--- a/sc2ts/validation.py
+++ b/sc2ts/validation.py
@@ -20,8 +20,8 @@ def _validate_samples(ts, samples, alignment_store, show_progress):
         disable=not show_progress,
     ) as bar:
         for j, strain in bar:
-            ma = alignments.encode_and_mask(alignment_store[strain])
-            G[:, j] = ma.alignment[keep_sites]
+            a = alignments.encode_alignment(alignment_store[strain])
+            G[:, j] = a[keep_sites]
 
     vars_iter = ts.variants(samples=samples, alleles=tuple(core.ALLELES))
     with tqdm.tqdm(
diff --git a/tests/test_alignments.py b/tests/test_alignments.py
index cb6c93d..72cd7c4 100644
--- a/tests/test_alignments.py
+++ b/tests/test_alignments.py
@@ -96,66 +96,19 @@ def test_encode_real(self, fx_alignment_store):
         assert a[-1] == -1
 
 
-class TestMasking:
-    # Window size of 1 is weird because we have to have two or more
-    # ambiguous characters. That means we only filter if something is
-    # surrounded.
-    @pytest.mark.parametrize(
-        ["hap", "expected", "masked"],
-        [
-            ("A", "A", 0),
-            ("-", "-", 0),
-            ("-A-", "-N-", 1),
-            ("NAN", "NNN", 1),
-            ("---AAC---", "-N-AAC-N-", 2),
-        ],
-    )
-    def test_examples_w1(self, hap, expected, masked):
-        hap = np.array(list(hap), dtype="U1")
-        a = sa.encode_alignment(hap)
-        expected = np.array(list(expected), dtype="U1")
-        m = sa.mask_alignment(a, window_size=1)
-        assert len(m) == masked
-        assert_array_equal(expected, sa.decode_alignment(a))
-
-    @pytest.mark.parametrize(
-        ["hap", "expected", "masked"],
-        [
-            ("A", "A", 0),
-            ("-", "-", 0),
-            ("--A--", "-NNN-", 3),
-            ("---AAAA---", "NNNNAANNNN", 8),
-            ("NNNAAAANNN", "NNNNAANNNN", 8),
-            ("-N-AAAA-N-", "NNNNAANNNN", 8),
-        ],
-    )
-    def test_examples_w2(self, hap, expected, masked):
-        hap = np.array(list(hap), dtype="U1")
-        a = sa.encode_alignment(hap)
-        expected = np.array(list(expected), dtype="U1")
-        m = sa.mask_alignment(a, window_size=2)
-        assert len(m) == masked
-        assert_array_equal(expected, sa.decode_alignment(a))
-
-    @pytest.mark.parametrize("w", [0, -1, -2])
-    def test_bad_window_size(self, w):
-        a = np.zeros(2, dtype=np.int8)
-        with pytest.raises(ValueError):
-            sa.mask_alignment(a, window_size=w)
-
 
-class TestEncodeAndMask:
-    def test_known(self, fx_alignment_store):
-        a = fx_alignment_store["SRR11772659"]
-        ma = sa.encode_and_mask(a)
-        assert ma.original_base_composition == {
-            "T": 9566,
-            "A": 8894,
-            "G": 5850,
-            "C": 5472,
-            "N": 121,
-        }
-        assert ma.original_md5 == "e96feaa72c4f4baba73c2e147ede7502"
-        assert len(ma.masked_sites) == 133
-        assert ma.masked_sites[0] == 1
-        assert ma.masked_sites[-1] == 29903
+# class TestEncodeAndMask:
+#     def test_known(self, fx_alignment_store):
+#         a = fx_alignment_store["SRR11772659"]
+#         ma = sa.encode_and_mask(a)
+#         assert ma.original_base_composition == {
+#             "T": 9566,
+#             "A": 8894,
+#             "G": 5850,
+#             "C": 5472,
+#             "N": 121,
+#         }
+#         assert ma.original_md5 == "e96feaa72c4f4baba73c2e147ede7502"
+#         assert len(ma.masked_sites) == 133
+#         assert ma.masked_sites[0] == 1
+#         assert ma.masked_sites[-1] == 29903
diff --git a/tests/test_inference.py b/tests/test_inference.py
index d619256..009b93e 100644
--- a/tests/test_inference.py
+++ b/tests/test_inference.py
@@ -34,8 +34,7 @@ def recombinant_example_1(ts_map):
     h = H[0].copy()
     h[bp:] = H[1][bp:]
 
-    s = sc2ts.Sample("frankentype", "2020-02-14")
-    s.alignment = h
+    s = sc2ts.Sample("frankentype", "2020-02-14", haplotype=h)
     return ts, s
 
 
@@ -87,11 +86,10 @@ def test_match_reference(self, mirror):
         tables = ts.dump_tables()
         tables.sites.truncate(20)
         ts = tables.tree_sequence()
-        samples = [sc2ts.Sample("test", "2020-01-01")]
         alignment = sc2ts.core.get_reference_sequence(as_array=True)
-        ma = sc2ts.alignments.encode_and_mask(alignment)
-        h = ma.alignment[ts.sites_position.astype(int)]
-        samples[0].alignment = h
+        a = sc2ts.encode_alignment(alignment)
+        h = a[ts.sites_position.astype(int)]
+        samples = [sc2ts.Sample("test", "2020-01-01", haplotype=h)]
         matches = self.match_tsinfer(samples, ts, mirror_coordinates=mirror)
         assert matches[0].breakpoints == [0, ts.sequence_length]
         assert matches[0].parents == [ts.num_nodes - 1]
@@ -104,13 +102,12 @@ def test_match_reference_one_mutation(self, mirror, site_id):
         tables = ts.dump_tables()
         tables.sites.truncate(20)
         ts = tables.tree_sequence()
-        samples = [sc2ts.Sample("test", "2020-01-01")]
         alignment = sc2ts.core.get_reference_sequence(as_array=True)
-        ma = sc2ts.alignments.encode_and_mask(alignment)
-        h = ma.alignment[ts.sites_position.astype(int)]
+        a = sc2ts.encode_alignment(alignment)
+        h = a[ts.sites_position.astype(int)]
+        samples = [sc2ts.Sample("test", "2020-01-01", haplotype=h)]
         # Mutate to gap
         h[site_id] = sc2ts.core.ALLELES.index("-")
-        samples[0].alignment = h
         matches = self.match_tsinfer(samples, ts, mirror_coordinates=mirror)
         assert matches[0].breakpoints == [0, ts.sequence_length]
         assert matches[0].parents == [ts.num_nodes - 1]
@@ -130,13 +127,11 @@ def test_match_reference_all_same(self, mirror, allele):
         tables = ts.dump_tables()
         tables.sites.truncate(20)
         ts = tables.tree_sequence()
-        samples = [sc2ts.Sample("test", "2020-01-01")]
         alignment = sc2ts.core.get_reference_sequence(as_array=True)
-        alignment = sc2ts.core.get_reference_sequence(as_array=True)
-        ma = sc2ts.alignments.encode_and_mask(alignment)
-        ref = ma.alignment[ts.sites_position.astype(int)]
+        a = sc2ts.encode_alignment(alignment)
+        ref = a[ts.sites_position.astype(int)]
         h = np.zeros_like(ref) + allele
-        samples[0].alignment = h
+        samples = [sc2ts.Sample("test", "2020-01-01", haplotype=h)]
         matches = self.match_tsinfer(samples, ts, mirror_coordinates=mirror)
         assert matches[0].breakpoints == [0, ts.sequence_length]
         assert matches[0].parents == [ts.num_nodes - 1]
@@ -235,8 +230,8 @@ class TestTreeInfo:
     def test_tree_info_values(self, fx_ts_map):
         ts = fx_ts_map["2020-02-13"]
         ti = sc2ts.TreeInfo(ts, show_progress=False)
-        # Make sure we've got the first few sites removed.
-        assert list(ti.sites_num_masked_samples[:3]) == [5, 4, 4]
+        assert list(ti.nodes_num_missing_sites[:5]) == [0, 0, 0, 560, 535]
+        assert list(ti.sites_num_missing_samples[:5]) == [1, 1, 1, 1, 1]
 
 
 class TestRealData:
@@ -301,24 +296,14 @@ def test_first_day(self, tmp_path, fx_ts_map, fx_alignment_store, fx_metadata_db
             assert mut_md["site_position"] == ts.sites_position[mut.site]
             assert mut_md["inherited_state"] == ts.site(mut.site).ancestral_state
         assert hmm_md["path"] == [{"left": 0, "parent": 1, "right": 29904}]
-        assert sc2ts_md["qc"] == {
-            "num_masked_sites": 133,
-            "original_base_composition": {
-                "A": 8894,
-                "C": 5472,
-                "G": 5850,
-                "N": 121,
-                "T": 9566,
-            },
-            "original_md5": "e96feaa72c4f4baba73c2e147ede7502",
-            "masked_base_composition": {
-                'A': 8891,
-                'C': 5468,
-                'G': 5849,
-                'T': 9562,
-            },
+        assert sc2ts_md["num_missing_sites"] == 0
+        assert sc2ts_md["alignment_composition"] == {
+            "A": 8820,
+            "C": 5426,
+            "G": 5694,
+            "T": 9477,
         }
-
+        assert sum(sc2ts_md["alignment_composition"].values()) == ts.num_sites
         ts.tables.assert_equals(fx_ts_map["2020-01-19"].tables, ignore_provenance=True)
 
     def test_2020_02_02(self, tmp_path, fx_ts_map, fx_alignment_store, fx_metadata_db):
@@ -335,6 +320,37 @@ def test_2020_02_02(self, tmp_path, fx_ts_map, fx_alignment_store, fx_metadata_d
         # print(fx_ts_map["2020-02-02"])
         ts.tables.assert_equals(fx_ts_map["2020-02-02"].tables, ignore_provenance=True)
 
+    @pytest.mark.parametrize("max_samples", range(1, 6))
+    def test_2020_02_02_max_samples(self, tmp_path, fx_ts_map, fx_alignment_store, fx_metadata_db, max_samples):
+        ts = sc2ts.extend(
+            alignment_store=fx_alignment_store,
+            metadata_db=fx_metadata_db,
+            base_ts=fx_ts_map["2020-02-01"],
+            date="2020-02-02",
+            max_daily_samples=max_samples,
+            match_db=sc2ts.MatchDb.initialise(tmp_path / "match.db"),
+        )
+        new_samples = min(4, max_samples)
+        assert ts.num_samples == 22 + new_samples
+        assert np.sum(ts.nodes_time[ts.samples()] == 0) == new_samples
+
+    def test_2020_02_02_max_missing_sites(self, tmp_path, fx_ts_map, fx_alignment_store, fx_metadata_db):
+        max_missing_sites = 2
+        ts = sc2ts.extend(
+            alignment_store=fx_alignment_store,
+            metadata_db=fx_metadata_db,
+            base_ts=fx_ts_map["2020-02-01"],
+            date="2020-02-02",
+            max_missing_sites=max_missing_sites,
+            match_db=sc2ts.MatchDb.initialise(tmp_path / "match.db"),
+        )
+        new_samples = 2
+        assert ts.num_samples == 22 + new_samples
+
+        assert np.sum(ts.nodes_time[ts.samples()] == 0) == new_samples
+        for u in ts.samples()[-new_samples:]:
+            assert ts.node(u).metadata["sc2ts"]["num_missing_sites"] <= max_missing_sites
+
     def test_2020_02_08(self, tmp_path, fx_ts_map, fx_alignment_store, fx_metadata_db):
         ts = sc2ts.extend(
             alignment_store=fx_alignment_store,
@@ -480,17 +496,17 @@ def test_node_mutation_counts(self, fx_ts_map, date):
             "2020-01-30": {"nodes": 21, "mutations": 19},
             "2020-01-31": {"nodes": 22, "mutations": 21},
             "2020-02-01": {"nodes": 27, "mutations": 27},
-            "2020-02-02": {"nodes": 32, "mutations": 36},
-            "2020-02-03": {"nodes": 35, "mutations": 42},
-            "2020-02-04": {"nodes": 40, "mutations": 48},
-            "2020-02-05": {"nodes": 41, "mutations": 48},
-            "2020-02-06": {"nodes": 46, "mutations": 51},
-            "2020-02-07": {"nodes": 48, "mutations": 57},
-            "2020-02-08": {"nodes": 53, "mutations": 58},
-            "2020-02-09": {"nodes": 55, "mutations": 61},
-            "2020-02-10": {"nodes": 56, "mutations": 65},
-            "2020-02-11": {"nodes": 58, "mutations": 66},
-            "2020-02-13": {"nodes": 62, "mutations": 68},
+            "2020-02-02": {"nodes": 32, "mutations": 39},
+            "2020-02-03": {"nodes": 35, "mutations": 45},
+            "2020-02-04": {"nodes": 40, "mutations": 54},
+            "2020-02-05": {"nodes": 41, "mutations": 54},
+            "2020-02-06": {"nodes": 46, "mutations": 57},
+            "2020-02-07": {"nodes": 48, "mutations": 63},
+            "2020-02-08": {"nodes": 53, "mutations": 64},
+            "2020-02-09": {"nodes": 55, "mutations": 67},
+            "2020-02-10": {"nodes": 56, "mutations": 71},
+            "2020-02-11": {"nodes": 58, "mutations": 75},
+            "2020-02-13": {"nodes": 62, "mutations": 77},
         }
         assert ts.num_nodes == expected[date]["nodes"]
         assert ts.num_mutations == expected[date]["mutations"]
@@ -732,7 +748,7 @@ def test_recombinant_example_2(self, tmp_path, fx_ts_map, fx_alignment_store):
             ],
         }
 
-        assert smd["hmm_reruns"] == { }
+        assert smd["hmm_reruns"] == {}
 
     def test_all_As(self, tmp_path, fx_ts_map, fx_alignment_store):
         # Same as the recombinant_example_1() function above
@@ -790,10 +806,11 @@ def test_exact_matches(
 
     @pytest.mark.parametrize(
         ("strain", "parent", "position", "derived_state"),
-        [("SRR11597218", 9, 289, "T"), ("ERR4206593", 54, 26994, "T")],
+        [
+            ("ERR4206593", 54, 26994, "T"),
+        ],
     )
     @pytest.mark.parametrize("num_mismatches", [2, 3, 4])
-    # @pytest.mark.parametrize("precision", [0, 1, 2, 12])
     def test_one_mismatch(
         self,
         fx_ts_map,
@@ -929,8 +946,7 @@ def test_example_1(self, fx_ts_map):
     def test_all_As(self, fx_ts_map):
         ts = fx_ts_map["2020-02-13"]
         h = np.zeros(ts.num_sites, dtype=np.int8)
-        s = sc2ts.Sample("zerotype", "2020-02-14")
-        s.alignment = h
+        s = sc2ts.Sample("zerotype", "2020-02-14", haplotype=h)
 
         sc2ts.match_recombinants(
             samples=[s],