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€ 3.900

(excluding 19% VAT)
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Omics Data Analysis | 5-Day Hands-on Training Program

Practical Training in Transcriptomics, Proteomics, Metabolomics, Multi-omics Integration & Translational Data Analysis

Course Format

Course Format

Additional information

Duration

5 Days
Training Type

Computer-Based Hands-on Workshop
Location

XTech Academy, Heidelberg, Germany
Class Size

Small groups to ensure intensive supervision and individualized support
Level

Intermediate
Language

English or German, depending on the selected course date
Certificate

Participants receive an XTech Academy Certificate of Completion upon successful participation

Course Format

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: €3,900 excluding 19% VAT
  • 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

 

بیوانفورماتیک، پایگاه‌های بیولوژیکی، فرمت‌های توالی، مبانی لینوکس، BLAST، مرورگرهای ژنوم، کاوش انواع، حاشیه‌نویسی عملکردی، RNA-seq، تجزیه و تحلیل بیان ژن، غنی‌سازی مسیر، چند omics، زیست‌شناسی سیستم‌ها و تجزیه و تحلیل داده‌های عمومی

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