{"id":22794832,"url":"https://github.com/menchelab/knaus_et_al_2022","last_synced_at":"2025-03-30T17:44:11.650Z","repository":{"id":63724729,"uuid":"568744384","full_name":"menchelab/Knaus_et_al_2022","owner":"menchelab","description":"This repository contains information and code about the analysis of metabolomics, lipidomics and proteomics for Knaus et al. Large neutral amino acid levels tune perinatal neuronal excitability and survival","archived":false,"fork":false,"pushed_at":"2022-11-24T16:15:06.000Z","size":11342,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-05T20:02:01.393Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/menchelab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-11-21T10:16:42.000Z","updated_at":"2022-11-24T09:27:06.000Z","dependencies_parsed_at":"2022-11-24T18:40:10.322Z","dependency_job_id":null,"html_url":"https://github.com/menchelab/Knaus_et_al_2022","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/menchelab%2FKnaus_et_al_2022","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/menchelab%2FKnaus_et_al_2022/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/menchelab%2FKnaus_et_al_2022/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/menchelab%2FKnaus_et_al_2022/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/menchelab","download_url":"https://codeload.github.com/menchelab/Knaus_et_al_2022/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246357763,"owners_count":20764361,"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","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":"2024-12-12T04:10:34.568Z","updated_at":"2025-03-30T17:44:11.624Z","avatar_url":"https://github.com/menchelab.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Knaus_et_al_2022\n[![DOI](https://zenodo.org/badge/568744384.svg)](https://zenodo.org/badge/latestdoi/568744384)\n\nThis repository contains information and code about the analysis of metabolomics, lipidomics and proteomics for Knaus et al. Large neutral amino acid levels tune perinatal neuronal excitability and survival\n\n# Install kernel\nTo reproduce the results you first have to install the conda environment using the following command\n```bash\nconda env create --file environment.yml\n```\n\nIf you do not have conda installed yet see [here](https://docs.conda.io/en/latest/miniconda.html) on how to do this. Once you have created the environment you need to activate it and install the ipykernel for jupyter to find it using\n```bash\npython -m ipykernel install --user --name nova --display-name nova\n```\n\nAfter this you can simply type\n```bash\njupyter lab\n```\n\nand inspect and run all the python notebooks in the `notebooks` directory.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmenchelab%2Fknaus_et_al_2022","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmenchelab%2Fknaus_et_al_2022","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmenchelab%2Fknaus_et_al_2022/lists"}