Practical Bioinformatics: Solving Biological Problems with Data

Bioinformatics is transforming how we understand life, from tracking disease outbreaks to developing personalized medicine. This text-based course bridges the gap between biology and computer science, showing you how to analyze biological data step-by-step. You will transition from understanding core biological concepts to confidently working with genomic data. Through written explanations and structured text exercises, you will learn to retrieve, process, and analyze DNA, RNA, and protein sequences using modern computational tools. What you'll learn: Understand foundational biological databases and how to query them for sequence data; Analyze DNA and protein sequences using alignment algorithms and modern computational tools; Apply Python-based libraries like BioPython to automate sequence analysis and data parsing; Practice solving real-world biological problems through structured text-based exercises; Discover modern genomic data formats and how to work with high-throughput sequencing results; Explore the basics of phylogenetic tree construction and evolutionary analysis. The journey begins with essential terminology and database navigation before moving into sequence alignment, programmatic data manipulation, and practical problem-solving scenarios. This course is designed specifically for beginners in bioinformatics, life science students, and programmers looking to enter the biotech field, with no prior biological or coding experience required. Start your journey into the world of computational biology today.