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Summer School 2026

From Biological Data to
Bioinformatics Mastery

Step into the future of biology where data reveals what experiments cannot. Equip yourself with in-demand skills in Bioinformatics—designed for students who want real skills, not just theory.

2 Months | July - August
Hands-on Training
MODULE 1

Foundations for Bioinformatics

Python • Linux • R Programming for Biological Data

Build a strong computational foundation by learning how to work with real biological datasets in a research-oriented environment.

  • Basics of Python and R programming for biological data
  • Writing and executing Bash scripts
  • Navigating efficiently in a Linux environment
  • Reading and managing biological file formats
  • Visualizing biological patterns and interpreting plots

Outcomes:

Work confidently in Linux-based environments, write basic scripts in Python and R, handle and visualize biological data effectively.

MODULE 2

Genomics & Transcriptomics

From Raw Reads to Biological Insights

Understand how high-throughput sequencing data is processed and transformed into meaningful biological interpretations.

  • RNA-seq experimental design and data structure
  • Sequencing outputs (FASTQ → count matrices)
  • Identifying differentially expressed genes (DEGs)
  • Visualizing results (volcano plots, heatmaps, boxplots)
  • Pathway and enrichment analysis (GO, KEGG concepts)

Outcomes:

Understand end-to-end RNA-seq workflows, perform differential expression analysis, and translate data into biological conclusions.

MODULE 3

Metagenomics

Exploring Microbial Communities

Dive into the analysis of complex microbial ecosystems and understand how sequencing reveals functional potential.

  • Introduction to metagenomics and microbiome research
  • Understanding microbial diversity and ecological context
  • Identifying microbial composition (who is there?)
  • Functional analysis (what are they doing?)
  • Community comparison and visualization techniques

Outcomes:

Understand metagenomic pipelines, interpret microbial diversity, and analyze/visualize microbiome datasets.

MODULE 4

Structural Bioinformatics

From Sequence to Structural Dynamics

Explore how biological sequences are transformed into 3D structures and their molecular function.

  • Protein structure and structural databases (PDB)
  • Modern prediction approaches (AlphaFold concepts)
  • Docking workflows and binding affinity concepts
  • Visualizing structures using molecular tools
  • Introduction to molecular dynamics (MD) simulations

Outcomes:

Predict target protein structures, interpret docking results, and grasp molecular simulations.

Ready to Master Bioinformatics?

Registration for the Omics Nexus Summer School 2026 will open soon. Join the waitlist to secure your spot and receive curriculum updates.