Introduction to Bioanalytical Techniques and Bioinformatics

Understanding the intersection of laboratory biology and computer science is essential for modern life science research. This text-based course bridges the gap between physical bioanalytical techniques and digital bioinformatics, giving you a comprehensive starting point in both fields. You will progress from learning how biological molecules are isolated and analyzed in the lab to exploring how genomic and proteomic data is processed using modern computational tools. Through clear explanations and practical written exercises, you will build a solid foundation in both experimental and analytical workflows. What you'll learn: Understand the core principles of bioanalytical methods, including chromatography, electrophoresis, and spectroscopy; Explore foundational bioinformatics databases and learn how to retrieve genomic and protein sequence data; Align biological sequences and analyze evolutionary relationships using basic sequence alignment algorithms; Learn modern bioinformatics practices, including an introduction to using Python and R for biological data analysis; Apply computational tools to predict protein structures and analyze molecular interactions; Practice interpreting experimental data and computational results through structured written exercises. The course begins with essential terminology and laboratory concepts before transitioning into computational bioinformatics tools and modern data analysis workflows. Designed specifically for beginners, this course requires no prior programming or advanced laboratory experience. Start your journey into the world of biotechnology and data science today.