research-data-management-lesson
Carpentries-style lesson on Research Data Management
https://github.com/scienceparkstudygroup/research-data-management-lesson
Science Score: 18.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.1%) to scientific vocabulary
Keywords
Repository
Carpentries-style lesson on Research Data Management
Basic Info
- Host: GitHub
- Owner: ScienceParkStudyGroup
- License: other
- Language: HTML
- Default Branch: gh-pages
- Homepage: https://scienceparkstudygroup.github.io/research-data-management-lesson/
- Size: 292 MB
Statistics
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
RNA-seq lesson
This repository generates the RNA-seq lesson materials based on the website template from The Carpentries Foundation.
Table of contents
Preview changes to the lesson locally
The lesson website is built through Github and Jekyll.
Option 1: follow the Carpentries setup: http://carpentries.github.io/lesson-example/setup.html The detailed instructions are listed in the "Jekyll Setup for Lesson Development" section.
Option 2: use a Docker container
1. Open a Shell window.
2. Navigate to the rna-seq-lesson/ folder using the cd command.
3. Since the lesson relies Jekyll 3.8.5, type within the Shell export JEKYLL_VERSION=3.8.5.
4. Make sure you have Docker for Windows or Mac installed: https://docs.docker.com/install/
5. With the Docker Desktop application running (you should see a little whale with containers at the top of your screen), type docker run --rm --volume="$PWD:/srv/jekyll" -p 4000:4000 -it jekyll/jekyll:$JEKYLL_VERSION jekyll serve
6. Open a web browser and type http://0.0.0.0:4000/ in the navigation bar. You should see the lesson website. Your changes should be automatically reflected online.
Contributing
How to contribute
We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the [more detailed guidelines][lesson-example] on proper formatting, ways to render the lesson locally, and even how to write new episodes.
Please see the current list of [issues][FIXME] for ideas for contributing to this
repository. For making your contribution, we use the GitHub flow, which is
nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon.
Look for the tag . This indicates that the mantainers will welcome a pull request fixing this issue.
Writing math symbols and formulas
Sometimes, you need to render mathematical formula etc. GitHub pages which is using Jekyll to render html pages makes use of MathJax.
Visit the official website and consult this thread for quick ways to render math symbols.
Credits
Maintainer(s)
Current maintainers of this lesson are
- Marc Galland, Data analyst and manager (University of Amsterdam, SILS, Plant Physiology Department).
- Tijs Bliek, research technician (University of Amsterdam, SILS, Plant Development and Epigenetics).
Authors
A list of contributors to the lesson can be found in AUTHORS
Citation
To cite this lesson, please consult with CITATION
Source of inspiration
This lesson is heavily based on teaching materials from the Harvard Chan Bioinformatics Core (HBC) in-depth NGS data analysis course. Materials have been adapted and some exercises created to comply with the Carpentries Foundation teaching requirements.
Owner
- Name: Amsterdam Science Park Study Group
- Login: ScienceParkStudyGroup
- Kind: organization
- Email: m.galland@uva.nl
- Location: Amsterdam Science Park
- Website: https://www.scienceparkstudygroup.info/
- Repositories: 7
- Profile: https://github.com/ScienceParkStudyGroup
This Study Group is a regular meetup place for Science Park researchers to improve their code and data skills, learn new tools, and work openly together.
Citation (CITATION)
If you make use of this material in some way (teaching, vocational training, research), please cite us: Tijs Bliek, Ken Kraaijeveld, Frans van der Kloet, Jolanta Szkodon and Marc Galland (eds): "RNA-seq lesson." Version 2020.04. https://github.com/ScienceParkStudyGroup/rnaseq-lesson