Genome Assembly in Bioinformatics: From Reads to Read Pairs

Reconstructing an entire genome from billions of tiny, fragmented DNA sequences is one of the most critical computational challenges in modern biology. This text-based course guides you through the core algorithms and data structures that make genome assembly possible, even with highly repetitive genetic data. You will transition from understanding basic sequencing reads to conceptualizing how advanced algorithms stitch together short reads and read-pairs into complete, accurate genomic sequences. What you'll learn: - Understand the foundational biology of DNA sequencing, reads, and the computational challenge of genomic repeats. - Construct and traverse de Bruijn graphs to solve complex sequence assembly problems. - Apply read-pair information to resolve graph ambiguities and bridge gaps in fragmented assemblies. - Evaluate assembly quality using modern assessment metrics and hybrid assembly concepts. - Analyze real-world assembly algorithms and computational trade-offs in bioinformatics. The course begins with essential biological terminology and foundational sequencing concepts before progressing to graph theory, pathfinding algorithms, and modern validation techniques. Designed for beginners in bioinformatics, computer science, or biology, this program requires no prior experience in genome assembly. Start reading today to master the computational logic behind modern genomic discovery.