Genome Assembly Fundamentals: String Reconstruction and De Bruijn Graphs

Reconstructing a complete genome from millions of short, fragmented DNA sequences is one of the most critical challenges in modern bioinformatics. Understanding the mathematical and algorithmic foundations of this process is essential for anyone entering the field of computational biology. This text-only course guides you from the absolute basics of string reconstruction to the implementation of graph-based assembly algorithms. You will transition from understanding simple sequence overlaps to modeling complex genomic data using structured, logical representations. What you'll learn: - Understand foundational genomic concepts, sequencing reads, and the k-mer composition of strings. - Explore the mechanics of overlap graphs and identify their limitations with large-scale data. - Construct de Bruijn graphs by applying node-gluing concepts to represent overlapping DNA sequences. - Trace Eulerian paths and cycles to reconstruct original genomic strings from graph structures. - Parse standard biological data formats like FASTA and FASTQ using modern Python practices. - Apply graph traversal algorithms in Python to solve practical sequence assembly problems. The course begins with core definitions of biological sequences and string algorithms before moving into hands-on graph construction and path-finding techniques. You will read conceptual breakdowns and analyze step-by-step code implementations to build a solid computational foundation. This course is designed for beginner bioinformatics enthusiasts, computer science students, and biology researchers with basic programming knowledge and no prior experience in graph theory. Start reading today to unlock the algorithmic secrets behind modern genome sequencing.