<jupyter_start><jupyter_text>Google Colab - custom reference example  Install igv-notebook<jupyter_code>!pip install igv-notebook<jupyter_output><empty_output><jupyter_text>**Download example files**<jupyter_code>!wget https://github.com/igvteam/igv-notebook/raw/main/examples/data/NC_045512v2.fa
!wget https://github.com/igvteam/igv-notebook/raw/main/examples/data/NC_045512v2.fa.fai<jupyter_output><empty_output><jupyter_text>**Load by file path (not use of "path" and "indexPath")**<jupyter_code>import igv_notebook

igv_notebook.init()

b = igv_notebook.Browser(
    {
        "reference": {
            "id": "NC_045523v3",
            "name": "SARS-COV-2",
            "fastaPath": "/content/NC_045512v2.fa",
            "indexPath": "/content/NC_045512v2.fa.fai"
        },
        "locus": "NC_045512v2:6,684-6,722"
    })<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15, 'fraction_numerical': 0.05930232558139535, 'mean_word_length': 4.155688622754491, 'pattern_counts': {'":': 6, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '524282', 'license': 'MIT', 'n_tokens_mistral': 373, 'n_tokens_neox': 340, 'n_words': 39, 'path': 'examples/Custom_Reference_Colab.ipynb', 'repo_name': 'igvteam/igv-notebook', 'size': '860'}