Bioinformatics: Comparing Genes, Proteins, and Genomes

Understanding how different species are related requires more than just observing physical traits; it requires a deep dive into comparing their genetic blueprints. This course provides a clear pathway into the computational methods used to analyze biological sequences and uncover the history of life. You will transition from understanding basic biological sequences to applying sophisticated algorithms that quantify evolutionary distance. By reading through detailed explanations and logic-based exercises, you will grasp how computer science principles solve complex biological puzzles. What you'll learn: - Understand the fundamental principles of sequence alignment and biological similarity - Apply dynamic programming techniques to solve global and local alignment problems - Analyze mutation patterns to determine the distance between genes and proteins - Explore modern heuristics and scoring matrices used in large-scale genome comparisons - Implement alignment logic using modern programming best practices and clean code - Evaluate the statistical significance of similarities between diverse biological sequences The course begins with essential terminology and the biological basis of sequence variation before moving into the step-by-step logic of alignment algorithms. You will explore how to calculate optimal scores for matches, mismatches, and gaps through written explanations and code-based examples. This course is designed for beginners interested in the intersection of biology and data science, with no prior bioinformatics experience required. Start your journey into the computational analysis of evolution today.