Published research based on computational analysis has often suffered from incomplete method descriptions; unavailable raw data; and incomplete, and undocumented or unavailable code. This essentially prevents the reproduction of results from such studies. The term “reproducible research” has been used to describe the idea that a scientific publication should be distributed along with all the raw data, metadata, code and the computational environment in order to reproduce the publication.
As part of the SciLifeLab Linköping seminar series 2024, NBIS would like to invite you to a seminar with a focus on reproducibility in bioinformatics. We will introduce NBIS services and give you an introduction to tools and compute systems that can help you work more reproducibly. We hope to see you there.
Program 11th of December, 13:00-16:00
- 13:00 Introduction to NBIS services - Malin Larsson
- 13:20 AIDA data hub Sensitive Data Services - Erik Ylipää
- 14:00 Tools for reproducible research. Introduction and general data management - John Sundh
- 14:30 -15:00 Coffee
- 15:00 Tools for reproducible research. Workflow managers - John Sundh
- 15:40 Possibly NBIS use case - TBA
Location: Wrannesalen, CMIV, Linköping University Hospital, North entrance, elevator K, floor 11.
On zoom: link available after registration
Read more about NBIS and AIDA Data Hub
National Bioinformatics Infrastructure Sweden (NBIS)
AIDA Data Hub
Welcome!