Course Details
Overview
This intensive 5-day hands-on training program provides participants with a structured introduction to omics data analysis and integrative biological interpretation.
The course covers major omics fields including genomics, transcriptomics, proteomics, metabolomics, multi-omics integration, systems biology, public omics repositories, RNA-seq analysis, differential gene expression, pathway enrichment, proteomics and metabolomics data visualization, biological network interpretation, biomarker discovery, precision medicine, and AI-driven future trends in omics analysis.
Participants will gain practical computer-based experience with real-world omics datasets and learn how to analyze, visualize, integrate, and interpret complex biological data.
Learning Objectives
By the end of this workshop, participants will be able to:
- Understand major omics technologies and their applications
- Explain genomics, transcriptomics, proteomics, and metabolomics concepts
- Design omics studies and understand different omics data types
- Use public omics repositories such as TCGA, GEO, and PRIDE
- Apply basic Linux and bioinformatics workflow concepts
- Understand RNA-seq workflows and sequencing QC metrics
- Perform differential gene expression analysis
- Interpret pathway enrichment results
- Understand proteomics technologies and mass spectrometry data
- Understand metabolomics data normalization principles
- Visualize proteomics and metabolomics data
- Apply principles of multi-omics integration
- Understand network analysis and systems biology approaches
- Interpret omics data in precision medicine and drug discovery contexts
- Work on a public multi-omics dataset in a mini project
- Present omics analysis results scientifically
Target Audience
This course is ideal for:
- Master’s and PhD students
- Research assistants and laboratory technicians
- Life science researchers interested in omics data analysis
- Biomedical, biotechnology, molecular biology, genetics, and bioinformatics students
- Researchers working with transcriptomics, proteomics, metabolomics, or multi-omics data
- Professionals in biotech, pharmaceutical, diagnostic, and translational research
- Participants interested in precision medicine, biomarker discovery, cancer research, immunology, and systems biology
Course Program
Day 1: Introduction to Omics Technologies & Experimental Design
Focus: Multi-omics concepts and study planning
| Time | Activity | Format |
|---|---|---|
| 09:00 – 09:30 | Welcome & Course Overview | Lecture |
| 09:30 – 10:30 | Introduction to Genomics, Transcriptomics, Proteomics & Metabolomics | Lecture |
| 10:30 – 10:45 | Coffee Break | |
| 10:45 – 12:00 | Experimental Design for Omics Studies & Data Types | Lecture |
| 12:00 – 13:00 | Lunch Break | |
| 13:00 – 14:30 | Biological Databases & Public Omics Repositories: TCGA, GEO and PRIDE | Lecture + Demo |
| 14:30 – 14:45 | Coffee Break | |
| 14:45 – 16:00 | Hands-on: Introduction to Bioinformatics Workflows & Linux Basics | Hands-on |
| 16:00 – 16:30 | Q&A & Wrap-up | Discussion & Q&A |
Day 2: Transcriptomics & Gene Expression Analysis
Focus: RNA-Seq and differential expression
| Time | Activity | Format |
|---|---|---|
| 09:00 – 09:30 | Overview Day 2 & Workflow Discussion | Q&A |
| 09:30 – 10:30 | RNA-Seq Principles & Experimental Workflow | Lecture |
| 10:30 – 10:45 | Coffee Break | |
| 10:45 – 12:30 | Hands-on: Quality Control of Sequencing Data: FASTQ/QC Metrics | Computer Session |
| 12:30 – 13:30 | Lunch Break | |
| 13:30 – 15:00 | Differential Gene Expression Analysis | Lecture + Hands-on |
| 15:00 – 15:15 | Coffee Break | |
| 15:15 – 16:30 | Pathway Enrichment & Functional Interpretation | Computer Session |
| 16:30 – 17:00 | Wrap-up | Discussion |
Day 3: Proteomics & Metabolomics Data Analysis
Focus: Protein and metabolite profiling
| Time | Activity | Format |
|---|---|---|
| 09:00 – 10:00 | Introduction to Proteomics Technologies & Mass Spectrometry | Lecture |
| 10:00 – 10:15 | Coffee Break | |
| 10:15 – 12:00 | Proteomics Data Processing & Protein Identification | Lecture + Demo |
| 12:00 – 13:00 | Lunch Break | |
| 13:00 – 14:30 | Introduction to Metabolomics & Data Normalization | Lecture |
| 14:30 – 15:30 | Hands-on: Proteomics/Metabolomics Data Visualization | Computer Session |
| 15:30 – 15:45 | Coffee Break | |
| 15:45 – 16:30 | Biological Interpretation & Biomarker Discovery Strategies | Discussion |
| 16:30 – 17:00 | Wrap-up | Discussion |
Day 4: Multi-omics Integration & Systems Biology
Focus: Integrative analysis
| Time | Activity | Format |
|---|---|---|
| 09:00 – 10:00 | Principles of Multi-omics Integration | Lecture |
| 10:00 – 10:15 | Coffee Break | |
| 10:15 – 12:00 | Network Analysis & Systems Biology Approaches | Lecture + Demo |
| 12:00 – 13:00 | Lunch Break | |
| 13:00 – 14:30 | Hands-on: Integrative Omics Data Analysis | Computer Session |
| 14:30 – 15:30 | Data Visualization & Biological Network Interpretation | Computer Session |
| 15:30 – 15:45 | Coffee Break | |
| 15:45 – 16:30 | Applications in Precision Medicine & Drug Discovery | Lecture |
| 16:30 – 17:00 | Wrap-up | Discussion |
Day 5: Translational Omics & Mini Project
Focus: Real-world applications and project presentation
| Time | Activity | Format |
|---|---|---|
| 09:00 – 10:00 | Omics in Cancer Research, Immunology & Personalized Medicine | Lecture |
| 10:00 – 10:15 | Coffee Break | |
| 10:15 – 12:00 | Mini Project: Analysis of a Public Multi-omics Dataset | Group Work |
| 12:00 – 13:00 | Lunch Break | |
| 13:00 – 14:30 | Data Interpretation & Preparation of Scientific Presentation | Group Work |
| 14:30 – 15:30 | Group Presentations & Scientific Discussion | Presentation & Discussion |
| 15:30 – 15:45 | Coffee Break | |
| 15:45 – 16:15 | Future Trends: AI & Machine Learning in Omics Analysis | Lecture |
| 16:15 – 16:30 | Final Wrap-up, Feedback & Certificates | Q&A |
What Participants Will Gain
Participants will gain:
- Strong overview of omics technologies and study design
- Practical experience with public omics repositories
- Understanding of transcriptomics and RNA-seq workflows
- Skills in differential gene expression analysis
- Understanding of pathway enrichment and functional interpretation
- Introductory knowledge of proteomics and metabolomics data analysis
- Experience with omics data visualization
- Understanding of multi-omics integration and systems biology
- Insight into biological network interpretation
- Knowledge of biomarker discovery strategies
- Understanding of omics applications in precision medicine and drug discovery
- Experience working on a public multi-omics dataset mini project
- Preparation for advanced omics, bioinformatics, and translational research projects
Course Details
- Location: XTech Academy, Heidelberg
- Duration: 5 days
- Format: Computer-based hands-on training course
- Level: Intermediate
- Price (incl. VAT): Industry €3,450 · Early Bird €2,950 · Student €2,400
- Focus: Omics technologies, transcriptomics, RNA-seq, proteomics, metabolomics, public repositories, differential expression, pathway enrichment, multi-omics integration, systems biology, biomarker discovery, precision medicine, drug discovery, AI, machine learning, and public multi-omics dataset analysis
