added more times

Author: joannmudge

module_notebooks/07-variant-calling-with-vg.ipynb

@@ -258,7 +258,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "2. Now, we can augment the graph with the mapped reads using `vg augment`. This will embed the variation from the alignments back into the graph.\n",
+    "2. Now, we can augment the graph with the mapped reads using `vg augment`. This will embed the variation from the alignments back into the graph. This may take up to an hour to complete.\n",
     "\n",
     "The parameters:\n",
     "\n",
@@ -283,7 +283,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "3. Next, index the augmented graph using `vg index`. We will make a .xg index.\n",
+    "3. Next, index the augmented graph using `vg index`. We will make a .xg index. This will take about 5 minutes.\n",
     "\n",
     "The parameters:\n",
     "\n",
@@ -307,7 +307,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "4. Now that the variation from the reads is embedded into the graph along with the original variants, we can procede to call variants like we did above by computing read support as we show below. "
+    "4. Now that the variation from the reads is embedded into the graph along with the original variants, we can procede to call variants like we did above by computing read support as we show below. This will take about 17 minutes."
    ]
   },
   {
@@ -323,7 +323,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "5. Then, we generate a VCF from the support."
+    "5. Then, we generate a VCF from the support. This will take about 20 minutes."
    ]
   },
   {