Introduction to EGA and its Ecosystem of Tools
Date: 19 September 2022 @ 10:00 - 13:00
Timezone: Madrid
Duration: 3 hours
About the workshop
The European Genome-phenome Archive (EGA) is a resource for archiving of all types of potentially identifiable genetic, phenotypic, and clinical data resulting from biomedical research projects. Its mission is to foster hosted data reuse, enable reproducibility, and accelerate biomedical and translational research.
To promote the use and interaction with professionals in research and education, we invite you to attend our first online workshop on the EGA and its ecosystem of tools. The goal of this training would be to present EGA repositories and tools so that they can be incorporated into your research or teaching. This online course is aimed at teachers, professors and trainers interested in incorporating these concepts and tools in their curriculums.
Register in this online form (open until Wednesday, September 14).
Content
- Part 1: The EGA and introduction to human data and sharing sensitive data.
- Part 2: Tools for exploring data: EGA has a number of tools in relation to GA4GH, such as Beacon or protocol htsget, which will be presented. There will also be introduction to other repositories for exploring sensitive human data, including GPAP: the RD-Connect Genome-Phenome Analysis Platform for diagnosis and gene discovery in rare disease research and DisGeNET: a discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases.
During the workshop, live demonstrations of the tools will be performed. The organisers will also provide direct access to materials for learning and training. The agenda is available on the VEIS website.
This course is supported by the VEIS project: Value of the EGA for Industry and Society.
Keywords: e-learning, bioinformatics, Genomics
Learning objectives:
- Identify the EGA repository and tools
- Incorporate the EGA repository and tools into your research or teaching
Organizer: European Genome-Phenome Archive (EGA)
Sponsors: VEIS
Scientific topics: Genomics, Bioinformatics
Activity log