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        "author": "Simon Willison",
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        "description": "# genome-to-sqlite\n\n[![PyPI](https://img.shields.io/pypi/v/genome-to-sqlite.svg)](https://pypi.org/project/genome-to-sqlite/)\n[![CircleCI](https://circleci.com/gh/dogsheep/genome-to-sqlite.svg?style=svg)](https://circleci.com/gh/dogsheep/genome-to-sqlite)\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/dogsheep/genome-to-sqlite/blob/master/LICENSE)\n\nImport your genome into a SQLite database.\n\n## How to install\n\n    $ pip install genome-to-sqlite\n\n## How to use\n\nFirst, export your genome. This tool has only been tested against 23andMe so far. You can request an export of your genome from https://you.23andme.com/tools/data/download/\n\nNow you can convert the resulting `export.zip` file to SQLite like so:\n\n    $ genome-to-sqlite export.zip genome.db\n\nA progress bar will be displayed. You can disable this using `--silent`.\n\n```\nImporting genome  [#----------------]    5%  00:01:33\n```\n\nYou can explore the resulting data using [Datasette](https://datasette.readthedocs.io/) like this:\n\n    $ datasette genome.db --config facet_time_limit_ms:1000\n\nBumping up the facet time limit is useful in order to enable faceting by chromosome:\n\nhttp://127.0.0.1:8001/genome/genome?_facet=chromosome&_sort=position\n\n\n",
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