OMICs data analysis

Week	Date	Topic/Module	Lecturers/Leads	Format & Notes
1	1 Oct. 2026 2-4pm(CET	Introduction to OMICs Data Analysis	Ehsan Pishva, Maastricht University	Lecture + group introductions; overview of course structure, tools and explanation of final group assignment
2	14 Oct. 2026 2-4pm(CET)	Transcriptomics	Daniela Esser UKSH	RNA-seq workflows, mapping, differential gene expression, visualization
3	21 Oct. 2026 2-3pm(CET)	Q&A and Homework discussion	Daniela Esser, UKSH	1-hour optional discussion
4	4 Nov. 2026 2-4pm(CET)	Proteomics	Klaus Kratochwill, MUW	Data normalization, protein identification, differential expression
5	11 Nov. 2026 2-3pm(CET)	Q&A and Homework discussion	Klaus Kratochwill, MUW	1-hour optional discussion
6	18 Nov. 2026 2-4pm(CET)	Lipidomics	Daan van Kruining, Maastricht University	Data processing, QC, and quantification; introduction to software tools
7	25 Nov. 2026 2-3pm(CET)	Q&A and Homework discussion	Daan van Kruining, Maastricht University	1-hour optional discussion
8	2 Dec. 2026 2-4pm(CET)	Statistics & Integration of Multi-OMICs Data	Daniela Esser, UKSH	Big data vs. small sample analysis, clustering, pitfalls, reproducibility
9	16 Dec. 2026 2-4pm(CET)	Final Group Presentations & Discussion	All lecturers	Short presentations of final group assignment, feedback and wrap-up