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