https://github.com/menchelab/knaus_et_al_2022

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
https://github.com/menchelab/knaus_et_al_2022

Last synced: about 1 year ago
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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

• Host: GitHub
• URL: https://github.com/menchelab/knaus_et_al_2022
• Owner: menchelab
• License: mit
• Created: 2022-11-21T10:16:42.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-11-24T16:15:06.000Z (over 3 years ago)
• Last Synced: 2025-02-05T20:02:01.393Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 10.8 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Knaus_et_al_2022

[![DOI](https://zenodo.org/badge/568744384.svg)](https://zenodo.org/badge/latestdoi/568744384)

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

# Install kernel

To reproduce the results you first have to install the conda environment using the following command

```bash

conda env create --file environment.yml

```

If 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

```bash

python -m ipykernel install --user --name nova --display-name nova

```

After this you can simply type

```bash

jupyter lab

```

and inspect and run all the python notebooks in the `notebooks` directory.