Bioinformatics & Biotechnology Innovations

Course Overview:

This course explores the interdisciplinary field of Bioinformatics and Biotechnology, focusing on how computational tools and biotechnological advancements drive innovation in healthcare, agriculture, pharmaceuticals, and genetic research. Students will learn about genomics, proteomics, molecular modeling, CRISPR technology, and AI-driven bioinformatics. The course includes hands-on experience with biological data analysis, genome sequencing, and bioinformatics software tools.

Course Objectives:

By the end of this course, students will:

• Understand the fundamentals of bioinformatics and biotechnology.
• Learn about genomic sequencing, gene editing, and molecular biology.
• Explore computational techniques for analyzing DNA, RNA, and proteins.
• Gain hands-on experience with bioinformatics tools (BLAST, NCBI, Python for bioinformatics, etc.).
• Study cutting-edge biotechnology innovations like CRISPR, synthetic biology, and biopharmaceuticals.
• Learn how AI and machine learning are transforming bioinformatics research.
• Explore ethical considerations and future trends in biotechnology.

Course Modules:

Module 1: Introduction to Bioinformatics & Biotechnology

• Overview of biological data and computational biology
• Applications of bioinformatics in medicine, agriculture, and pharma
• Basics of DNA, RNA, and protein structures
• Key biotechnological innovations

Module 2: Genomics, Proteomics & Computational Biology

• Genome sequencing technologies (Sanger, NGS)
• DNA and protein sequence alignment (BLAST, FASTA)
• Structural and functional genomics
• Hands-on: Analyzing genomic data using bioinformatics tools