Practical Bioinformatics: Daily Tasks with Python and Biopython

Modern biological research generates vast amounts of data, making manual analysis slow and error-prone. Learning to automate daily sequence tasks is the key to accelerating your scientific discoveries and managing data efficiently. This course guides you from the absolute basics of programming to executing practical bioinformatics workflows. You will start with foundational Python concepts, modern environment setup, and gradually progress to analyzing genetic sequences, querying global databases, and performing alignments. What you'll learn: - Understand foundational Python programming, including variables, control flow, loops, and modern virtual environment setup. - Query the NCBI database programmatically using Entrez to search and retrieve biological data. - Read, write, and convert common sequence file formats using SeqIO to automate data parsing. - Perform transcription, translation, and essential sequence analyses such as GC content and molecular weight calculations. - Execute pairwise and multiple sequence alignments to identify evolutionary relationships. - Run BLAST searches programmatically to find sequence similarities across global databases. The course begins with core programming concepts and environment configuration, ensuring you have a solid foundation before moving into practical Biopython applications, database integration, and sequence alignment techniques. This course is designed for biologists, researchers, and students who are new to programming and want to apply Python to their daily scientific workflows. No prior coding experience is required. Start building your bioinformatics toolkit and simplify your data analysis workflows today.