{
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    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Linking endpoints together\n\nIf you can pull a datapoint from the json, you can use it as input for another endpoint.\n\nFor example, this script gets the symbol of a gene then looks up xrefs associated with it:"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import requests, json\nfrom pprint import pprint\n\ndef fetch_endpoint(server, request, content_type):\n\n    r = requests.get(server+request, headers={ \"Accept\" : content_type})\n\n    if not r.ok:\n        r.raise_for_status()\n        sys.exit()\n\n    if content_type == 'application/json':\n        return r.json()\n    else:\n        return r.text\n\n\nserver = \"http://rest.ensembl.org/\"\ngene_ext = \"lookup/id/ENSG00000157764?\"\ncon = \"application/json\"\nget_gene = fetch_endpoint(server, gene_ext, con)\n\nsymbol = get_gene['display_name']\n\nxrefs_ext = \"xrefs/symbol/human/\" + symbol + \"?\"\nget_xrefs = fetch_endpoint(server, xrefs_ext, con)\n\npprint (get_xrefs)",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Exercises 5\n\n1\\. Using the script from 3.1, add a call to fetch and print the sequence for the gene *ESPN* in FASTA."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# Exercise 5.1",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "2\\. Print the stable ID of any regulatory features that overlap the region 1000 bp upstream of the ESPN gene. (Hints: lookup the gene first to get the coordinates, then check the strand of the gene to see which way is upstream, and use this to create coordinates to query.)"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# Exercise 5.2",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "[Next page: Exercises 5 - answers](5_Linking_endpoints_together_answers.ipynb)"
    }
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