Genome Assembly with de Bruijn Graphs and Paired Composition

Reconstructing a complete genome from millions of short, fragmented DNA reads is one of the most significant computational challenges in modern biology. This text-based course guides you through the fundamental algorithms and mathematical models used to piece together genetic codes. You will transition from understanding basic biological strings to analyzing complex graph-based assembly methods. By mastering these computational concepts, you will gain a deep, intuitive understanding of how modern bioinformatics software processes genomic data. What you'll learn: Understand the foundational concepts of k-mers, string composition, and genome reconstruction; Construct and traverse de Bruijn graphs to solve assembly challenges; Apply paired composition techniques to resolve repeat regions in complex genomes; Explore modern error-correction strategies and validation methods for high-throughput sequencing data; Analyze how paired-end reads bridge gaps in fragmented genomic assemblies. The course begins with core biological and mathematical definitions, establishing a solid foundation before moving into graph theory and algorithmic walkthroughs. You will progress systematically from simple string reconstruction to advanced paired-read assembly concepts. This program is designed for students, programmers, and aspiring bioinformaticians who want to understand the logic behind genomic software without needing prior advanced training in genetics. Begin your journey into computational biology and unlock the secrets of genomic sequence reconstruction today.