{"id":18569477,"url":"https://github.com/timeu/gwas-lecture","last_synced_at":"2025-07-21T13:32:58.262Z","repository":{"id":63782860,"uuid":"155992254","full_name":"timeu/gwas-lecture","owner":"timeu","description":"Lectures on Genome Wide Association Studies (GWAS) using Python, Limix and Jupyter Noteboos","archived":false,"fork":false,"pushed_at":"2020-11-20T14:17:27.000Z","size":48887,"stargazers_count":33,"open_issues_count":0,"forks_count":15,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-10T19:49:25.720Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/timeu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-11-03T14:44:48.000Z","updated_at":"2024-12-27T12:05:15.000Z","dependencies_parsed_at":"2022-11-25T22:24:14.167Z","dependency_job_id":null,"html_url":"https://github.com/timeu/gwas-lecture","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/timeu/gwas-lecture","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timeu%2Fgwas-lecture","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timeu%2Fgwas-lecture/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timeu%2Fgwas-lecture/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timeu%2Fgwas-lecture/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/timeu","download_url":"https://codeload.github.com/timeu/gwas-lecture/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timeu%2Fgwas-lecture/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266311975,"owners_count":23909742,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-21T11:47:31.412Z","response_time":64,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-06T22:34:14.290Z","updated_at":"2025-07-21T13:32:58.237Z","avatar_url":"https://github.com/timeu.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Lectures on Genome Wide Association Studies (GWAS) with Limix, Python and Jupyter Notebooks\n============================================\n\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/timeu/gwas-lecture/master)\n\nA set of lectures on Genome Wide Association Studies (GWAS) with Limix, Python and Jupyter Notebooks. The notebooks are heavily based on the original [limix tutorial notebooks](http://nbviewer.ipython.org/github/limix/limix-tutorials/blob/master/index.ipynb) but adapted to work with the latest stable Limix 1.x release.\n\nTo open these notebooks in Jupyter, download the files to a directory on your computer and from that directory run (for installation of the necessary software packages see [Lecture-0 Setup of Python Environment](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-0-Setup-of-Python-Environment.ipynb)):\n\n    $ jupyter notebook\n\n\nOnline read-only versions\n=========================\n\n\nUse the following links:\n\n0. [Lecture 0 - Setup of Python Environment](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-0-Setup-of-Python-Environment.ipynb)\n1. [Lecture 1 - Introduction to Jupyter Notebooks](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-1-Introduction-to-Jupyter-Notebooks.ipynb)\n2. [Lecture 2 - Introduction to Python-Programming](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-2-Introduction-to-Python-Programming.ipynb)\n3. [Lecture 3 - Introduction to Numpy](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-3-Introduction-to-Numpy.ipynb)\n4. [Lecture 4 - Matplotlib](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-4-Matplotlib.ipynb)\n5. [Lecture 5 - HDF5 h5py PyTables](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-5-HDF5-h5py-PyTables.ipynb)\n6. [Lecture 6 - Linear Regression ](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-6-Linear-Regression.ipynb)\n7. [Lecture 7 - Linear Mixed Model](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-7-Linear-Mixed-Model.ipynb)\n8. [Lecture 8 - Multi Trait Linear Mixed Model](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-8-Multi-Trait-Linear-Mixed-Model.ipynb)\n9. [Lecture 9 - Estimating (SNP) narrow-sense heritability](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-9-SNPHeritability.ipynb)\n10. [Lecture 10 - Estimating (SNP) broade-sense heritability](http://nbviewer.ipython.org/urls/raw.github.com/timeu/gwas-lecture/master/Lecture-10-BroadSenseHeritability.ipynb)\n\n\nLicense\n=======\n\nThis work is licensed under a [Creative Commons Attribution 3.0 Unported License.](http://creativecommons.org/licenses/by/3.0/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimeu%2Fgwas-lecture","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftimeu%2Fgwas-lecture","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimeu%2Fgwas-lecture/lists"}