diff --git a/bean/notebooks/sample_quality_report.ipynb b/bean/notebooks/sample_quality_report.ipynb
index b8df76b..98e294c 100755
--- a/bean/notebooks/sample_quality_report.ipynb
+++ b/bean/notebooks/sample_quality_report.ipynb
@@ -366,14 +366,19 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "plt.hist(\n",
-    "    1-(\n",
-    "        bdata[:, bdata.samples.condition == ctrl_cond].layers[\"X_bcmatch\"]\n",
-    "        / bdata[:, bdata.samples.condition == ctrl_cond].X\n",
-    "    ).mean(axis=1)\n",
-    ")\n",
-    "plt.xlabel(\"Recombination rate\")\n",
-    "plt.ylabel(\"Frequency\")"
+    "if \"target_base_changes\" not in bdata.uns or not base_edit_data:\n",
+    "    print(\n",
+    "        \"Not a base editing data or target base change not provided. Passing editing-related QC\"\n",
+    "    )\n",
+    "elif \"edits\" in bdata.layers.keys():\n",
+    "    plt.hist(\n",
+    "        1-np.nanmean(\n",
+    "            bdata[:, bdata.samples.condition == ctrl_cond].layers[\"X_bcmatch\"]\n",
+    "            / bdata[:, bdata.samples.condition == ctrl_cond].X\n",
+    "        , axis=1)\n",
+    "    )\n",
+    "    plt.xlabel(\"Recombination rate\")\n",
+    "    plt.ylabel(\"Frequency\")"
    ]
   },
   {
diff --git a/bean/preprocessing/data_class.py b/bean/preprocessing/data_class.py
index 8f8a52a..2b1d63c 100755
--- a/bean/preprocessing/data_class.py
+++ b/bean/preprocessing/data_class.py
@@ -105,6 +105,7 @@ def __init__(
         self.screen_control = screen[
             :, screen.samples[condition_column].astype(str).isin(control_condition)
         ]
+        self.control_can_be_selected = control_can_be_selected
         self.n_samples = len(screen.samples)  # 8
         self.n_guides = len(screen.guides)
         self.n_reps = len(screen.samples[replicate_column].unique())
@@ -328,6 +329,7 @@ def _post_init(
             self.screen_control.layers["X_bcmatch"], len(self.control_condition)
         )
         # print(self.control_sample_mask.shape, self.X_bcmatch_control.shape) torch.Size([3, 2]) torch.Size([3, 2, 11035])
+        # print("bcm init @ ReporterScreen", self.X_bcmatch_control_masked.shape)
         self.X_bcmatch_control_masked = (
             self.X_bcmatch_control * self.control_sample_mask[:, :, None]
         )
@@ -972,13 +974,26 @@ def _pre_init(
                     .values.astype(int)
                 )
             )
-        self.screen_selected = _assign_rep_ids_and_sort(
-            self.screen_selected, self.replicate_column, self.condition_column
-        )
-        self.screen_control = _assign_rep_ids_and_sort(
-            self.screen_control,
-            self.replicate_column,
-        )
+        if not self.control_can_be_selected:
+            self.screen_selected = screen[
+                :,
+                ~(
+                    self.screen.samples[self.condition_column]
+                    .astype(str)
+                    .isin(self.control_condition)
+                ),
+            ]
+        else:
+            self.screen_selected = self.screen[
+                :, ~self.screen.samples[self.condition_column].isnull()
+            ]
+
+        self.screen_control = self.screen[
+            :,
+            self.screen.samples[self.condition_column]
+            .astype(str)
+            .isin(self.control_condition),
+        ]
 
 
 @dataclass
@@ -1370,10 +1385,13 @@ def __getitem__(self, guide_idx):
         if hasattr(ndata, "X_bcmatch"):
             ndata.X_bcmatch = ndata.X_bcmatch[:, :, guide_idx]
         if hasattr(ndata, "X_bcmatch_masked"):
+            print("b shape", ndata.X_bcmatch.shape)
             ndata.X_bcmatch_masked = ndata.X_bcmatch_masked[:, :, guide_idx]
         if hasattr(ndata, "X_bcmatch_control"):
+            print("bc shape", ndata.X_bcmatch_control.shape)
             ndata.X_bcmatch_control = ndata.X_bcmatch_control[:, :, guide_idx]
         if hasattr(ndata, "X_bcmatch_control_masked"):
+            print("bcm shape", ndata.X_bcmatch_control_masked.shape)
             ndata.X_bcmatch_control_masked = ndata.X_bcmatch_control_masked[
                 :, :, guide_idx
             ]
@@ -1395,7 +1413,7 @@ def set_bcmatch(self, screen):
             self.screen_control.layers["X_bcmatch"], len(self.control_condition)
         )
         self.X_bcmatch_control_masked = (
-            self.X_bcmatch_control * self.control_sample_mask[:, None, None]
+            self.X_bcmatch_control * self.control_sample_mask[:, :, None]
         )
         self.size_factor_bcmatch = torch.as_tensor(
             self.screen_selected.samples["size_factor_bcmatch"].to_numpy()
diff --git a/bean/qc/utils.py b/bean/qc/utils.py
index d59d096..f91bf5b 100755
--- a/bean/qc/utils.py
+++ b/bean/qc/utils.py
@@ -30,11 +30,13 @@ def check_args(args):
         raise ValueError(
             f"Specified --target-pos-col `{args.target_pos_col}` does not exist in ReporterScreen.guides.columns ({bdata.guides.columns}). Please check your input. (--tiling {args.tiling}, ReporterScreen.tiling: {bdata.tiling})"
         )
-    if args.posctrl_col and args.posctrl_col not in bdata.guides.columns:
-        raise ValueError(
-            f"Specified --posctrl-col `{args.posctrl_col}` does not exist in ReporterScreen.guides.columns ({bdata.guides.columns}). Please check your input."
-        )
-    bdata.guides[args.posctrl_col] = bdata.guides[args.posctrl_col].astype(str)
+    if args.posctrl_col != "":
+        if args.posctrl_col and args.posctrl_col not in bdata.guides.columns:
+            raise ValueError(
+                f"Specified --posctrl-col `{args.posctrl_col}` does not exist in ReporterScreen.guides.columns ({bdata.guides.columns}). Please check your input."
+            )
+        else:
+            bdata.guides[args.posctrl_col] = bdata.guides[args.posctrl_col].astype(str)
     if (
         args.posctrl_col
         and args.posctrl_val not in bdata.guides[args.posctrl_col].tolist()