The document provides an introduction to bioinformatics, highlighting its significance in modern science and its intersection with biology, computer science, and data analysis. It covers key applications such as genome sequencing, protein structure prediction, and relevant tools like BLAST and ClustalW, alongside real-world case studies including the Human Genome Project and cancer genomics. Overall, it emphasizes the importance of bioinformatics in computational biology and provides hands-on examples to facilitate learning.

1. Introduction to Bioinformatics
Applications in Computational Biology

2. Introduction
• - Brief overview of session goals
• - Importance of bioinformatics in modern
science

3. What is Bioinformatics?
• - Definition of bioinformatics
• - History and evolution of the field
• - Intersection of biology, computer science,
and data analysis
• - Key concepts: genomics, proteomics,
metabolomics, and transcriptomics

4. Applications of Bioinformatics
• - Sequencing genomes
• - Genome annotation
• - Comparative genomics
• - Hands-on example: Exploring genome data
• - Protein structure prediction
• - Protein-protein interactions
• - Functional annotation of proteins
• - Hands-on example: Analyzing protein
sequences

5. Key Tools and Technologies
• - Overview of bioinformatics tools: BLAST,
ClustalW, and others
• - Introduction to databases: GenBank, PDB,
UniProt

6. Case Studies in Computational
Biology
• - Real-world examples of bioinformatics
applications
• - Human Genome Project
• - Cancer genomics
• - Drug discovery and development
• - Discussion of how bioinformatics contributed
to these studies