Putting FAIR principles into action for multi-omics
Enabling data sharing and reuse in line with the FAIR principles (see box) is becoming a prerequisite for many funding agencies, but this still represents a practical challenge for researchers. In this in silico talk, Nastassia Gobet of the University of Lausanne and SIB shares the strategy and tools adopted to maximize the value of complex, multi-omics data, generated in the context of a systems genetic research project on sleep regulation. The study she co-led with Maxime Jan (University of Lausanne) is published in a special collection of the journal Scientific Data on multi-omics data sharing, and supports the notion that making data more reproducible improves the quality of science.
About the in silico talks series – The latest in bioinformatics by SIB Scientists
The in silico talks online series aims to inform bioinformaticians, life scientists and clinicians about the latest advances led by SIB Scientists on a wide range of topics in bioinformatics methods, research and resources. Stay abreast of the latest developments, get exclusive insights into recent papers, and discover how these advances might help you in your work or research, by subscribing to the in silico talks mailing list.
Jan M, Gobet N et al. A multi-omics digital research object for the genetics of sleep regulation. Scientific data 2019.