Applied Bioinformatics: Practical Biological Data Analysis

Modern biology is driven by data, making the ability to analyze genetic sequences and biological datasets an essential skill for researchers and analysts. This course introduces you to the core computational techniques used to solve real-world biological problems. You will transition from understanding basic biological concepts to actively processing, filtering, and analyzing genomic data. By reading structured explanations and practicing with real-world data formats, you will build a solid foundation in computational biology. What you'll learn: - Understand the fundamental principles of bioinformatics and molecular biology databases - Analyze DNA, RNA, and protein sequences using standard file formats like FASTA and FASTQ - Perform sequence alignments and database searches using BLAST and other alignment algorithms - Process biological data programmatically using Python and modern data libraries - Interpret genomic data to identify mutations, patterns, and evolutionary relationships The course starts with foundational definitions and key terminology before guiding you through sequence analysis workflows, database queries, and practical data-handling exercises. This course is designed for beginners in life sciences, computer science, or data analysis, and requires no prior bioinformatics experience. Start your journey into computational biology and unlock the power of genomic data today.