https://github.com/sib-swiss/single-cell-training

SIB course on single cell transcriptomics by mostly using the Seurat pipeline
https://github.com/sib-swiss/single-cell-training

bioinformatics course rna-seq single-cell teaching tutorial

Last synced: 10 months ago
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SIB course on single cell transcriptomics by mostly using the Seurat pipeline

• Host: GitHub
• URL: https://github.com/sib-swiss/single-cell-training
• Owner: sib-swiss
• License: cc-by-4.0
• Created: 2021-05-25T06:22:37.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-10-29T12:46:28.000Z (about 1 year ago)
• Last Synced: 2024-10-29T15:12:35.865Z (about 1 year ago)
• Topics: bioinformatics, course, rna-seq, single-cell, teaching, tutorial
• Language: R
• Homepage: https://sib-swiss.github.io/single-cell-training/
• Size: 228 MB
• Stars: 77
• Watchers: 6
• Forks: 37
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.md

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README

          
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[![License: CC BY-SA 4.0](https://img.shields.io/badge/License-CC_BY--SA_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by-sa/4.0/)

This website is hosted at: https://sib-swiss.github.io/single-cell-training/

Please refer to [issues](https://github.com/sib-swiss/single-cell-training/issues) for improvements/bugs for course material or the website. 

Any contribution to this course material is highly appreciated :+1:. Please have a look at the [CONTRIBUTING.md](CONTRIBUTING.md) file to learn more on how to contribute. 

# Course website single cell transcriptomics

## Authors

- Tania Wyss [ORCiD](https://orcid.org/0000-0003-2641-0895)

- Rachel Marcone-Jeitziner [ORCiD](https://orcid.org/0000-0002-5711-8435)

- Geert van Geest [ORCiD](https://orcid.org/0000-0002-1561-078X)

- Patricia Palagi [ORCiD](https://orcid.org/0000-0001-9062-6303)

## How reuse this material

This website is generated with [quarto](https://quarto.org/). To re-build the website, download and install [Rstudio](https://posit.co/download/rstudio-desktop/) and [Quarto CLI](https://quarto.org/docs/get-started/). Also make sure you have installed the [required packages](Docker/install_packages.R). After that, clone this repository:

```sh

git clone https://github.com/sib-swiss/single-cell-training.git

```

Open the project in Rstudio, and run in the terminal:

```R

quarto preview

```