DNA Features Viewer.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "86dbfad7-df5f-47a4-9f1f-527f135abd0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dna_features_viewer import GraphicFeature, GraphicRecord, BiopythonTranslator\n",
    "from Bio import SeqIO\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "f4f14350-e17f-4f66-a01a-2a86a1eb9441",
   "metadata": {},
   "outputs": [],
   "source": [
    "color_map = {\n",
    "    \"rep_origin\": \"yellow\",\n",
    "    \"CDS\": \"orange\",\n",
    "    \"regulatory\": \"red\",\n",
    "    \"misc_recomb\": \"darkblue\",\n",
    "    \"misc_feature\": \"lightblue\",\n",
    "}\n",
    "\n",
    "translator = BiopythonTranslator(\n",
    "    features_filters=(lambda f: f.type not in [\"gene\", \"source\"] and 'product' in f.qualifiers.keys(),),\n",
    "    features_properties=lambda f: {\"color\": color_map.get(f.type, \"white\")},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "0b783bfa-537f-4521-a412-f0242dd729b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def fn(gbk_file, translator, window, plot_sequence=False):\n",
    "    graphic_record = translator.translate_record(gbk_file)\n",
    "    cropped_record = graphic_record.crop(window)\n",
    "    ax, _ = cropped_record.plot(figure_width=20, strand_in_label_threshold=10)\n",
    "    if plot_sequence:\n",
    "        cropped_record.plot_sequence(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "eef9f510-8313-4731-9af1-361768ac1ef9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x158.4 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fn(\"/media/Access/3_個人儲存區/陳柏翰/TVGH/TVGH20001-0318.gbk\", translator, (1835155, 1835185), True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "a5a95b01-9204-432b-840e-66d2f331278c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x158.4 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fn(\"/media/Access/3_個人儲存區/陳柏翰/TVGH/TVGH20001-0318.gbk\", translator, (2597000, 2599000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5cc2c844-7d5e-4383-a60d-890f150e12c8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "114d1a01-38f5-4f03-b99a-3a515dd7f94e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x158.4 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "graphic_record = translator.translate_record(\"/media/Access/3_個人儲存區/陳柏翰/TVGH/TVGH20002-0318.gbk\")\n",
    "cropped_record = graphic_record.crop((1836300, 1836430))\n",
    "ax, _ = cropped_record.plot(figure_width=20, strand_in_label_threshold=10)\n",
    "cropped_record.plot_sequence(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "94506aad-b8b5-4ed8-875a-026690df0a1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "cropped_record.plot_translation()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}