Removed a duplicated link.

Author: joannmudge

module_notebooks/02-building-graphs-with-pggb.ipynb

@@ -64,7 +64,7 @@
     "+ The main advantage of PGGB is that it is truly not reference biased\n",
     "+ The two main drawbacks of PGGB is that the graphs are computationally expensive to compute and the graphs can be very complex compared to other types of pangenome graphs, making them more difficult to analyse, both computationally and visually.\n",
     "\n",
-    "#### The PGGB algorithm creates *[reference-free graphs](https://academic.oup.com/bioinformatics/article/30/24/3476/2422268)* from: \n",
+    "#### The PGGB algorithm creates *reference-free graphs* from: \n",
     "+ All-pairwise whole genome alignments \n",
     "+ Inducing a graph from the alignments\n",
     "\n",
@@ -902,6 +902,12 @@
   }
  ],
  "metadata": {
+  "environment": {
+   "kernel": "conda-env-nigms-pangenomics-nigms-pangenomics",
+   "name": "workbench-notebooks.m127",
+   "type": "gcloud",
+   "uri": "us-docker.pkg.dev/deeplearning-platform-release/gcr.io/workbench-notebooks:m127"
+  },
   "kernelspec": {
    "display_name": "nigms-pangenomics",
    "language": "python",