id,node_id,name,full_name,private,owner,html_url,description,fork,created_at,updated_at,pushed_at,homepage,size,stargazers_count,watchers_count,language,has_issues,has_projects,has_downloads,has_wiki,has_pages,forks_count,archived,disabled,open_issues_count,license,topics,forks,open_issues,watchers,default_branch,permissions,temp_clone_token,organization,network_count,subscribers_count,readme,readme_html,allow_forking,visibility,is_template,template_repository,web_commit_signoff_required,has_discussions 209590345,MDEwOlJlcG9zaXRvcnkyMDk1OTAzNDU=,genome-to-sqlite,dogsheep/genome-to-sqlite,0,53015001,https://github.com/dogsheep/genome-to-sqlite,Import your genome into a SQLite database,0,2019-09-19T15:38:39Z,2021-01-18T19:39:48Z,2019-09-19T15:41:17Z,,9,13,13,Python,1,1,1,1,0,0,0,0,2,apache-2.0,"[""genetics"", ""sqlite"", ""23andme"", ""personal-analytics"", ""datasette"", ""dogsheep"", ""datasette-io"", ""datasette-tool""]",0,2,13,master,"{""admin"": false, ""push"": false, ""pull"": false}",,53015001,0,2,"# genome-to-sqlite [![PyPI](https://img.shields.io/pypi/v/genome-to-sqlite.svg)](https://pypi.org/project/genome-to-sqlite/) [![CircleCI](https://circleci.com/gh/dogsheep/genome-to-sqlite.svg?style=svg)](https://circleci.com/gh/dogsheep/genome-to-sqlite) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/dogsheep/genome-to-sqlite/blob/master/LICENSE) Import your genome into a SQLite database. ## How to install $ pip install genome-to-sqlite ## How to use First, 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/ Now you can convert the resulting `export.zip` file to SQLite like so: $ genome-to-sqlite export.zip genome.db A progress bar will be displayed. You can disable this using `--silent`. ``` Importing genome [#----------------] 5% 00:01:33 ``` You can explore the resulting data using [Datasette](https://datasette.readthedocs.io/) like this: $ datasette genome.db --config facet_time_limit_ms:1000 Bumping up the facet time limit is useful in order to enable faceting by chromosome: http://127.0.0.1:8001/genome/genome?_facet=chromosome&_sort=position ","

genome-to-sqlite

Import your genome into a SQLite database.

How to install

$ pip install genome-to-sqlite

How to use

First, 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/

Now you can convert the resulting export.zip file to SQLite like so:

$ genome-to-sqlite export.zip genome.db

A progress bar will be displayed. You can disable this using --silent.

Importing genome  [#----------------]    5%  00:01:33

You can explore the resulting data using Datasette like this:

$ datasette genome.db --config facet_time_limit_ms:1000

Bumping up the facet time limit is useful in order to enable faceting by chromosome:

http://127.0.0.1:8001/genome/genome?_facet=chromosome&_sort=position

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