Reproducible, Collaborative and Transparent Research in Bioinformatics
Reproducible, Collaborative and Transparent Research in Bioinformatics
Instructor: Dr. Ulf Tölch, QUEST Centre, Berlin, Germany
Maximum number of participants: 20
Date: 9th April 2019, 14:00h - 18:00h
Venue: Charles Darwin room, PRBB Patio
Application deadline: 4th April 2019
In bioinformatics, results are usually underpinned by computer code for figures and statistical inference and computational reproducibility is an increasingly essential component of biomedical research, particularly if regulatory submissions involve complex bioinformatics workflows. In this practical course, you will get an overview how to make your research more reproducible. You will receive several best practice examples towards increased transparency in your research such as integration of git and reproducible research tools like Binder and CodeOcean among others. You will explore options to deposit your data and code openly and accessibly.
In this practical course, you will:
- Get an overview how to make your research more reproducible.
- Receive several best practice examples towards increased transparency in your research such as integration of git and reproducible research tools like Binder and CodeOcean among others.
- Explore options to deposit your data and code openly and accessibly.
Requirements: Basic programming knowledge in either R or Python is needed. Ideally, you have used git before but it is not mandatory.
Dr. Ulf Tölch
Ulf started his scientific career in behavioural biology and then switched for several post doc years to psychology and cognitive neuroscience. Now he is based at the QUEST Centre for transforming biomedical research educating medical and doctoral students in reproducible research practices. Beyond this, he is investigating reproducibility and its impact on the translational biomedical process. (for details see: https://orcid.org/0000-0002-8731-3530)
FOSTER Plus project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 741839.