Introduction to Bioinformatics: Assembling and Identifying Viral Genomes

When a new virus emerges, the first step to fighting it is decoding its genetic blueprint. Bioinformatics provides the essential computational tools to transform raw sequencing data into a complete, identifiable viral genome. In this text-based course, you will learn the foundational concepts of computational biology and follow the step-by-step process used to assemble and identify viral pathogens, such as SARS-CoV-2. You will understand how scientists decode genetic sequences, perform quality control on genomic data, and use alignment algorithms to reconstruct a virus's genetic code. What you'll learn: - Understand the core principles of genomics, DNA sequencing, and viral replication. - Learn how to parse and analyze genomic data formats like FASTA and FASTQ. - Apply sequence alignment and genome assembly algorithms to reconstruct viral genomes. - Explore public biological databases to retrieve and compare reference sequence data. - Identify genetic mutations and variations in pathogen genomes using computational tools. - Practice writing basic Python scripts to automate DNA sequence analysis. This written guide begins with foundational genomic terminology before moving into practical data manipulation, sequence alignment, and comparative analysis. You will read clear explanations and study code examples that demonstrate how raw biological data becomes actionable scientific insight. This course is designed for beginners interested in computational biology, biotechnology, or programming. No prior background in bioinformatics or advanced biology is required. Start your journey into computational biology and learn how to decode the genomes of viral pathogens today.