Bioinformatics Foundations: Sequence Alignment and Edit Distance

Genomic data is expanding at an unprecedented rate, making the ability to compare biological sequences one of the most critical skills in modern bioinformatics. Understanding how algorithms detect similarities and mutations in DNA, RNA, and proteins is key to unlocking evolutionary and medical discoveries. This text-only course guides you from foundational biological concepts to the core algorithmic techniques used in computational biology. You will gain a solid conceptual and practical understanding of how sequence alignment algorithms work, enabling you to analyze genetic data and implement basic alignment logic yourself. What you'll learn: Understand the biological significance of sequence alignment and genetic variation; Calculate edit distance using dynamic programming to measure sequence similarity; Compare global and local alignment methods, including the Needleman-Wunsch and Smith-Waterman algorithms; Explore modern alignment approaches and indexing techniques like the Burrows-Wheeler Transform; Analyze DNA and protein sequences using standard bioinformatics notations; Practice implementing basic alignment logic through structured, step-by-step written exercises. The course starts with essential terminology and the biological foundations of sequence comparison. You will then progress through the mathematical principles of edit distance, explore classic alignment algorithms, and examine modern techniques used in high-throughput genomic analysis. This course is designed for beginners in bioinformatics, computer science students, or biology enthusiasts with no prior experience in genomics or complex programming. Start reading today to build your foundational knowledge of genomic sequence analysis.