Bioinformatics Algorithms: Building De Bruijn Graphs from K-Mers

How do scientists piece together millions of tiny DNA fragments to reconstruct an entire genome? At the heart of modern computational biology lies the De Bruijn graph, an elegant mathematical structure used to assemble genetic sequences from high-throughput sequencing data. This text-only course provides a clear, step-by-step guide to understanding and building these graphs from scratch. By working through this comprehensive written guide, you will master the core algorithmic principles behind genome reconstruction. You will transition from understanding basic DNA strings to representing complex genetic structures as mathematical graphs, preparing you to work with real-world genomic datasets. What you'll learn: - Understand the foundational biology and mathematics behind DNA sequencing and k-mer extraction. - Construct De Bruijn graphs by systematically mapping k-mers to nodes and directed edges. - Identify and resolve common graph anomalies, such as bubbles and tips, caused by real-world sequencing errors. - Apply Eulerian path and Hamiltonian path concepts to find the original genomic sequence. - Analyze modern sequencing data considerations, including k-mer frequency filtering and coverage analysis. This course begins with essential terminology and foundational definitions of genomic sequences. You will then progress through detailed written explanations of graph construction algorithms, accompanied by conceptual walkthroughs and practical exercises to reinforce your learning. This course is designed for beginners in bioinformatics, computer science students, and biology researchers who want to understand the algorithmic engine behind genome assembly. No prior graph theory experience is required. Start reading today to master the computational foundations of modern genomics.