diff --git a/08-submission/gff-02-functional_annot.ipynb b/08-submission/gff-02-functional_annot.ipynb
index 1ab90de3d6f8012f4099f78c3b3b4f02efe638ec..c26e7ebe4e841a6c2b15bcaa3f7490e012e40990 100644
--- a/08-submission/gff-02-functional_annot.ipynb
+++ b/08-submission/gff-02-functional_annot.ipynb
@@ -14,7 +14,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from tqdm import tqdm\n",
+    "# from tqdm import tqdm # install it for nice progress bars\n",
     "\n",
     "import pandas as pd"
    ]
@@ -118,11 +118,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
-    "best_per_gene = '/Users/npapadop/Documents/data/pycnogonum/draft/out.emapper.best.annotations'\n",
+    "best_per_gene = '/lisc/scratch/zoology/pycnogonum/genome/draft/annot_merge/emapper/out.emapper.best.annotations'\n",
     "emapper = pd.read_csv(best_per_gene, sep='\\t', header=0)\n",
     "\n",
     "emapper['gene'] = emapper['#query'].apply(parse_gene_id)\n",
@@ -148,26 +148,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|██████████| 779251/779251 [00:04<00:00, 183551.40it/s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "gff_loc = '/Volumes/scratch/pycnogonum/genome/submission/merged_sorted.gff3'\n",
-    "named_loc = '/Volumes/scratch/pycnogonum/genome/submission/merged_sorted_named.gff3'\n",
+    "gff_loc = '/lisc/scratch/zoology/pycnogonum/genome/submission/merged_sorted.gff3'\n",
+    "named_loc = '/lisc/scratch/zoology/pycnogonum/genome/submission/merged_sorted_named.gff3'\n",
     "\n",
     "with open(gff_loc, 'r') as gff:\n",
     "    with open(named_loc, 'w') as named:\n",
     "        gene = ''\n",
     "        mRNA = ''\n",
-    "        for line in tqdm(gff.readlines()):\n",
+    "        # for line in tqdm(gff.readlines()):\n",
+    "        for line in gff.readlines():\n",
     "            line = line.strip()\n",
     "            conditions_skip = line.startswith('#') or 'tRNA' in line or 'name=' in line\n",
     "            if not conditions_skip:\n",
@@ -190,7 +183,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "ascc24",
+   "display_name": "jupyterhub-5.1.0",
    "language": "python",
    "name": "python3"
   },
@@ -204,7 +197,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.19"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,