Adding map gene ids tutorial

docs/tutorial/map-gene-ids.ipynb

@@ -0,0 +1,356 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+  "colab": {
+   "provenance": []
+  },
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Map Gene IDs\n",
+    "\n",
+    "This tutorial will show you how to directly call the GeneWeaver API to map Gene IDs within a species. For this example, we will map Gene Symbols to Ensemble Gene IDs.\n",
+    "\n",
+    "To get started, you can <a target=\"_blank\" href=\"https://colab.research.google.com/github/TheJacksonLaboratory/geneweaver-docs/blob/main/docs/tutorial/map-gene-ids.ipynb\">\n",
+    "  <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
+    "</a>"
+   ],
+   "metadata": {
+    "id": "IxAq_kYX5xZB"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "id": "9sNkibUK22so"
+   },
+   "outputs": [],
+   "source": [
+    "import requests"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Initialize Gene IDs\n",
+    "First, you will need to initalize a list of the Gene IDs you want to map. Here, we load identifiers from a file.\n",
+    "\n",
+    "After the end of this step you will need to have a list of gene IDs as shown below."
+   ],
+   "metadata": {
+    "id": "qqSZt-Ef6HSP"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "with open('gene_names.txt', 'r') as file:\n",
+    "    file_content = file.read().strip()\n",
+    "    ids = [id.strip('\"') for id in file_content.split(',')]"
+   ],
+   "metadata": {
+    "id": "dNjGLcYT3H0r"
+   },
+   "execution_count": 2,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "len(ids)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "EQLB21_j5HG0",
+    "outputId": "65ef2d27-b0d7-447e-ab23-00dbc35a3172"
+   },
+   "execution_count": 3,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "32285"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 3
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "ids[:5]"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "z7Hz1w8B5OO8",
+    "outputId": "943c118b-3e99-4290-9bbe-bf4367e46805"
+   },
+   "execution_count": 4,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "['Xkr4', 'Gm1992', 'Gm19938', 'Gm37381', 'Rp1']"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 4
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Call The GeneWeaver ReST API\n",
+    "\n",
+    "First we'll construct our ReST call."
+   ],
+   "metadata": {
+    "id": "crIVfKOL7ESB"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "payload = {\n",
+    "    \"source_ids\": ids,\n",
+    "    \"target_gene_id_type\": \"Ensemble Gene\",\n",
+    "    \"species\": \"Mus Musculus\"\n",
+    "}"
+   ],
+   "metadata": {
+    "id": "qdMft1Un3K4-"
+   },
+   "execution_count": 5,
+   "outputs": []
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "The GeneWeaver API uses JSON, so let's specufy that in our request headers."
+   ],
+   "metadata": {
+    "id": "cLlJEtDi7k33"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "headers = {\n",
+    "    'accept': 'application/json',\n",
+    "    'Content-Type': 'application/json'\n",
+    "}"
+   ],
+   "metadata": {
+    "id": "f-Y4Wrm93LSc"
+   },
+   "execution_count": 6,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "response = requests.post('https://geneweaver.jax.org/api/genes/mapping', json=payload, headers=headers)"
+   ],
+   "metadata": {
+    "id": "wSFcduFY3Npg"
+   },
+   "execution_count": 7,
+   "outputs": []
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Process Results\n",
+    "\n",
+    "The mapping endpoint will return a dictionary with a list of results available on the `gene_ids_map` key. Let's process that into a dictionary with the original IDs as keys and te new IDs as values."
+   ],
+   "metadata": {
+    "id": "TuO5nDxx7wNX"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "mapping = {\n",
+    "    r[\"original_ref_id\"]: r[\"mapped_ref_id\"]\n",
+    "    for r in response.json()['gene_ids_map']\n",
+    "}"
+   ],
+   "metadata": {
+    "id": "bvkt1cef3OiA"
+   },
+   "execution_count": 8,
+   "outputs": []
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "We can now easily access a list of our mapped IDs."
+   ],
+   "metadata": {
+    "id": "jwg4YvS07-EK"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "mapped_ids = list(mapping.values())"
+   ],
+   "metadata": {
+    "id": "Rm4fdKMt5c8L"
+   },
+   "execution_count": 9,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "len(mapped_ids)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "KW-WnSfg4xau",
+    "outputId": "e2987b55-735b-4d14-e6c4-863a5346239f"
+   },
+   "execution_count": 10,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "32050"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 10
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "mapped_ids[:5]"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "NeNORUE35mnZ",
+    "outputId": "bb2dc823-b39a-47cb-97b8-9652c42bc11f"
+   },
+   "execution_count": 11,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "['ENSMUSG00000066586',\n",
+       " 'ENSMUSG00000027596',\n",
+       " 'ENSMUSG00000030359',\n",
+       " 'ENSMUSG00000027597',\n",
+       " 'ENSMUSG00000019986']"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 11
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "And we can see which IDs couldn't be mapped."
+   ],
+   "metadata": {
+    "id": "QgmtwpaQ8CL1"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "unmapped_ids = [\n",
+    "    _id for _id in ids if _id not in mapping\n",
+    "]\n"
+   ],
+   "metadata": {
+    "id": "qI-la0Fe3S6Y"
+   },
+   "execution_count": 12,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "len(unmapped_ids)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "j_hgdLrT4SJW",
+    "outputId": "7ab04cb4-eb7a-41e4-c0b3-ec75689d7565"
+   },
+   "execution_count": 13,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "235"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 13
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "unmapped_ids[:5]"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "ZXYJoV7G5hli",
+    "outputId": "8ce62cd9-afb5-4eeb-af77-c21e11e04c79"
+   },
+   "execution_count": 14,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "['Gm28653', 'Ptp4a1.1', 'Arhgef4.1', 'Asdurf', 'AC169382.1']"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 14
+    }
+   ]
+  }
+ ]
+}

mkdocs.yml

@@ -99,6 +99,7 @@ nav:
   - Tutorial:
       - tutorial/index.md
       - Client Login: tutorial/geneweaver_client_login.ipynb
+      - Map Gene IDs: tutorial/map-gene-ids.ipynb
       - NCI-60 Example Workflow: tutorial/nci_60_example_01.ipynb
 #      - Geneweaver Command Line Interface:
 #          - tutorial/geneweaver_command_line.md