https://github.com/lgatto/open-rr-bioinfo-best-practice
Best practices in bioinformatics research: open source software and reproducibility
https://github.com/lgatto/open-rr-bioinfo-best-practice
Last synced: about 2 months ago
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Best practices in bioinformatics research: open source software and reproducibility
- Host: GitHub
- URL: https://github.com/lgatto/open-rr-bioinfo-best-practice
- Owner: lgatto
- Created: 2015-10-14T21:29:24.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-01-21T00:15:45.000Z (over 9 years ago)
- Last Synced: 2025-01-20T22:55:21.635Z (3 months ago)
- Language: Jupyter Notebook
- Size: 2.39 MB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Best practices in bioinformatics research: open source software and reproducibility
* 2015/16 Bioinfo NST Part II BBS Minor Subject
* When: 18/01/2016 15:00 - 16:00
* Where: Pharmacology Lecture Theater, Tennis Court Road
* Who: [Laurent Gatto](http://cpu.sysbiol.cam.ac.uk/)
### Lecture/practical content
What is open science (data, source/code, access), and how can we
enable it? What is reproducible research, and why do we need it and
how can we implement it?
### Tools, databases and resources covered (if applicable)
Overview/demonstration of current tools enabling reproducible
research: Rmd/LaTeX, knitr/Sweave, Jupyter notebooks, org mode.
### Learning objectives
Familiarise students with concepts and tools of open science and
reproducible research.
### Course material
1. [Introduction](01-intro.md)
2. [Open Science](02-open-science.md)
3. [Reproducible research](03-rr.md)
4. [Conclusions](04-ccl.md)
5. [References](05-refs.md)
As a [single pdf](./open-rr-best-practice.pdf).
### Licence
This material is released under a
[CC-BY-SA licence](https://creativecommons.org/licenses/by-sa/4.0/)
.