1. Linux & Bioinformatics Fundamentals

Build a strong foundation in Linux, command-line operations, and essential bioinformatics tools. Learn the skills required to work efficiently in modern computational biology environments.

2. Biological Databases & Data Handling

Explore public biological databases and learn how to retrieve, manage, and analyze real-world biological data. Gain practical experience working with diverse genomic and proteomic datasets.

3. Sequence Analysis & Phylogenetics

Perform sequence alignment, similarity searches, and evolutionary analysis. Understand how genetic relationships are identified and visualized through phylogenetic methods.

4. NGS & Transcriptomics Analysis

Learn the fundamentals of Next-Generation Sequencing (NGS), RNA-seq, and gene expression analysis. Discover how high-throughput sequencing data is processed and interpreted.

5. Structural Bioinformatics & Genomics

Explore protein structure databases, molecular modeling, and docking techniques. Develop an understanding of genomics, genetic variants, and functional annotation workflows.

6. End-to-End Bioinformatics Projects

Apply your knowledge through practical projects and bioinformatics pipelines. Receive expert mentorship and feedback while building a portfolio of real-world analyses and research-ready skills.