diff --git a/google_colab/ont_dorado.ipynb b/google_colab/ont_dorado.ipynb
new file mode 100644
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+++ b/google_colab/ont_dorado.ipynb
@@ -0,0 +1,110 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "gpuType": "T4"
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    },
+    "accelerator": "GPU"
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "gxcweSl4fmRz"
+      },
+      "outputs": [],
+      "source": [
+        "# Initiate GPU runtime\n",
+        "\n",
+        "import tensorflow as tf\n",
+        "tf.test.gpu_device_name()\n",
+        "\n",
+        "import torch\n",
+        "torch.cuda.get_device_name(0)\n",
+        "\n",
+        "!rm -rf sample_data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Install Dorado (Oxford Nanopore Technologies)\n",
+        "\n",
+        "%%shell\n",
+        "\n",
+        "DORADO_VERSION=0.6.0 # Updated 02 Apr 2024\n",
+        "\n",
+        "pip install pod5\n",
+        "\n",
+        "wget https://cdn.oxfordnanoportal.com/software/analysis/dorado-\"$DORADO_VERSION\"-linux-x64.tar.gz -O dorado.tar.gz\n",
+        "tar -vzxf dorado.tar.gz; rm -rf dorado.tar.gz; mv dorado-\"$DORADO_VERSION\"-linux-x64 ont-dorado\n",
+        "./ont-dorado/bin/dorado download --directory ont-dorado/models\n",
+        "./ont-dorado/bin/dorado --version"
+      ],
+      "metadata": {
+        "id": "dSavIZSzhTlP"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Import Google Drive\n",
+        "\n",
+        "from google.colab import drive\n",
+        "drive.mount('/content/gdrive', force_remount=True)\n",
+        "\n",
+        "!ls gdrive/MyDrive"
+      ],
+      "metadata": {
+        "id": "i6QNwjcWlX7L"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Basecall and Demultiplex process\n",
+        "\n",
+        "%%shell\n",
+        "\n",
+        "# Specify the name of the folder (i.e., 20240411_1608_MN22990_FAT84733_f175dd69/fast5)\n",
+        "DIR=\"20240411_1608_MN22990_FAT84733_f175dd69/fast5\"\n",
+        "\n",
+        "# Specify the barcode kit used for library preparation\n",
+        "BARKIT=\"EXP-NBD114\"\n",
+        "\n",
+        "PREFIX=\"$(echo \"$IDIR\" | awk -F/ '{print $1}')\"\n",
+        "\n",
+        "pod5 convert fast5 $IDIR --output \"/content/gdrive/MyDrive/\"$PREFIX\".pod5\"\n",
+        "\n",
+        "# Specify the accurate basecalling model - fast (fast), high (hac) or super (sup) accuracy\n",
+        "# dna_r9.4.1_e8_fast@v3.4\n",
+        "# dna_r9.4.1_e8_hac@v3.3\n",
+        "# dna_r9.4.1_e8_sup@v3.3\n",
+        "./ont-dorado/bin/dorado basecaller \"ont-dorado/models/dna_r9.4.1_e8_sup@v3.3\" \\\n",
+        "\"/content/gdrive/MyDrive/\"$PREFIX\".pod5\" -r --min-qscore 8 --emit-fastq >> \"/content/gdrive/MyDrive/\"$PREFIX\"_DORADO-BASECALL.fastq\"\n",
+        "\n",
+        "./ont-dorado/bin/dorado demux \"/content/gdrive/MyDrive/\"$PREFIX\"_DORADO-SUP.fastq\" --emit-fastq \\\n",
+        "--output-dir \"/content/gdrive/MyDrive/\"$PREFIX\"_DORADO-DEMUX\" --kit-name $BARKIT -t $(nproc)"
+      ],
+      "metadata": {
+        "id": "3h3DJ72AH1I9"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}
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