0

 3.000

(excluding 19% VAT)

Introduction to Bioinformatics | 4-Day Hands-on Training Program

Practical Training in Biological Databases, Sequence Analysis, Linux, NGS Data & Mini Project Work

Course Format

Course Format

Additional information

Duration

4 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

Beginner to 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 4-day hands-on training program introduces participants to the core concepts and practical tools of bioinformatics and computational biology.

The course covers biological databases, sequence formats, data retrieval, Linux command line basics, BLAST, multiple sequence alignment, genome browsers, variant exploration, functional annotation, pathway analysis, gene expression analysis, RNA-seq workflows, NGS data visualization, multi-omics, systems biology, and public dataset analysis.

Participants will gain practical computer-based experience and learn how to access, analyze, visualize, and interpret biological data.

 

Learning Objectives

By the end of this workshop, participants will be able to:

  • Understand basic concepts in bioinformatics and computational biology
  • Use biological databases such as NCBI, Ensembl, UniProt, and GEO
  • Retrieve and understand biological data formats including FASTA, FASTQ, and GenBank
  • Use basic Linux command line operations for bioinformatics workflows
  • Perform BLAST searches and sequence alignment analysis
  • Understand genome browsers and variant exploration
  • Apply functional annotation and pathway analysis basics
  • Understand RNA-seq and NGS data analysis workflows
  • Perform basic QC and visualization of biological datasets
  • Understand differential gene expression analysis principles
  • Interpret pathway enrichment results
  • Work on a public biological dataset in a mini project
  • Present and discuss bioinformatics results scientifically

 

Target Audience

This course is ideal for:

  • Master’s and PhD students
  • Research assistants and laboratory technicians
  • Life science researchers with limited bioinformatics experience
  • Biomedical, biotechnology, molecular biology, genetics, and computational biology students
  • Scientists who want to start analyzing biological datasets
  • Professionals interested in bioinformatics, genomics, transcriptomics, or data-driven biology

 

 

Course Program

Day 1: Fundamentals of Bioinformatics & Biological Databases 

Focus: Core concepts and biological data resources 
Time  Activity  Format 
09:00 – 09:30  Welcome & Course Overview  Lecture 
09:30 – 10:30  Introduction to Bioinformatics & Computational Biology  Lecture 
10:30 – 10:45  Coffee Break   
10:45 – 12:00  Biological Databases: NCBI, Ensembl, UniProt & GEO  Lecture + Demo 
12:00 – 13:00  Lunch Break   
13:00 – 14:30  Hands-on: Sequence Formats & Data Retrieval: FASTA, FASTQ, GenBank  Hands-on 
14:30 – 14:45  Coffee Break   
14:45 – 16:00  Hands-on: Introduction to Linux Command Line for Bioinformatics  Hands-on 
16:00 – 16:30  Q&A & Wrap-up  Discussion & Q&A 

 

Day 2: Sequence Analysis & Genomics Tools 

Focus: DNA, RNA and protein sequence analysis 
Time  Activity  Format 
09:00 – 09:30  Overview Day 2 & Workflow Discussion  Q&A 
09:30 – 10:30  Sequence Alignment Principles: BLAST & Multiple Sequence Alignment  Lecture 
10:30 – 10:45  Coffee Break   
10:45 – 12:30  Hands-on: BLAST Searches & Alignment Analysis  Computer Session 
12:30 – 13:30  Lunch Break   
13:30 – 14:30  Introduction to Genomics & Variant Analysis  Lecture 
14:30 – 15:30  Hands-on: Genome Browsers & Variant Exploration  Computer Session 
15:30 – 15:45  Coffee Break   
15:45 – 16:30  Functional Annotation & Pathway Analysis Basics  Lecture + Demo 
16:30 – 17:00  Wrap-up  Discussion 

 

Day 3: Gene Expression & NGS Data Analysis 

Focus: Transcriptomics and biological interpretation 
Time  Activity  Format 
09:00 – 09:30  Introduction to Gene Expression Analysis  Lecture 
09:30 – 10:30  RNA-Seq Workflow & NGS Data Basics  Lecture 
10:30 – 10:45  Coffee Break   
10:45 – 12:30  Hands-on: Quality Control & Visualization of NGS Data  Computer Session 
12:30 – 13:30  Lunch Break   
13:30 – 14:30  Differential Gene Expression Analysis Principles  Lecture 
14:30 – 15:30  Hands-on: Gene Expression Data Analysis & Visualization  Computer Session 
15:30 – 15:45  Coffee Break   
15:45 – 16:30  Pathway Enrichment & Biological Interpretation  Lecture + Demo 
16:30 – 17:00  Wrap-up  Discussion 

Day 4: Integrated Bioinformatics Applications & Mini Project 

Focus: Translational bioinformatics and project work 
Time  Activity  Format 
09:00 – 10:00  Applications of Bioinformatics in Precision Medicine & Drug Discovery  Lecture 
10:00 – 10:15  Coffee Break   
10:15 – 12:00  Introduction to Multi-omics & Systems Biology  Lecture + Demo 
12:00 – 13:00  Lunch Break   
13:00 – 14:30  Mini Project: Analysis of a Public Biological Dataset  Group Work 
14:30 – 15:30  Data Interpretation & Visualization of Results  Computer Session 
15:30 – 15:45  Coffee Break   
15:45 – 16:15  Group Presentations & Scientific Discussion  Presentation & Discussion 
16:15 – 16:30  Final Wrap-up, Feedback & Certificates  Q&A 

What Participants Will Gain

Participants will gain:

  • Practical introduction to bioinformatics and computational biology
  • Experience using biological databases and public repositories
  • Understanding of common biological data formats
  • Hands-on experience with Linux command line basics
  • Skills in BLAST searches and sequence alignment analysis
  • Practical insight into genome browsers and variant exploration
  • Understanding of functional annotation and pathway analysis
  • Introductory experience with RNA-seq and gene expression data
  • Skills in biological data visualization and interpretation
  • Experience working on a public dataset mini project
  • Preparation for independent learning in genomics, transcriptomics, and bioinformatics

 

Course Details

  • Location: XTech Academy, Heidelberg
  • Duration: 4 days
  • Format: Computer-based hands-on training course
  • Level: Beginner to intermediate
  • Price: €3,000 excluding 19% VAT
  • Focus: Bioinformatics, biological databases, sequence formats, Linux basics, BLAST, genome browsers, variant exploration, functional annotation, RNA-seq, gene expression analysis, pathway enrichment, multi-omics, systems biology, and public dataset analysis

 

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