OMICs Data Analysis for Biomedical Researchers

October – December 2026 | Online Course | 1 ECTS

This 10-week online course, provides a hands-on introduction to OMICs data analysis in biomedical research, with a focus on rare disease studies. Participants will gain both theoretical knowledge and practical skills for analyzing lipidomic, proteomic, transcriptomic, and genomic datasets.

Through expert lectures and interactive group work, participants will learn not only how to perform data analyses, but also how to interpret and critically assess their results. The course introduces recommended software tools, analytical pipelines, and best practices for reproducible OMICs research.

Group assignments and practical exercises form the core of the training. Participants will:
•    Work in small groups on guided data analysis tasks
•    Apply workflows to their own or provided datasets
•    Complete a small analysis project as part of the final assessment

Each session focuses on a specific OMICs discipline, covering data processing, quality control, statistical principles, and common challenges in small-sample studies.

Format

• Duration: 10 weeks (October–December 2026)
• Schedule: Online, biweekly sessions
• Structure: 5 sessions, each with up to two lectures (approx. 2 hours including breaks)
• Q&A: 1-hour discussion before each new session to review homework and questions
• Participants: Limited places to ensure interactive learning
   

Who Should Attend
This course is designed for PhD students, postdoctoral researchers, and biomedical scientists seeking to strengthen their understanding of OMICs-based approaches and data analysis. By the end of the course, participants will be equipped with practical skills and critical insight to independently analyze, interpret, and report OMICs data in their own research.

 

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Organized by: 
EURON and the IgG4-TREAT Consortium (Grant Agreement No. 101119457)