Learning Outcomes
The course is taught during the first semester and involves several 3-hour lectures and the presentation of a research paper, within two weeks, on the theme of Bioinformatics. The goal of the course is to introduce the students to data analysis with Bioinformatics software and related databases. The students are familiarized with the most important Databases in Biosciences, homology search, phylogenetic and phylogenomic analysis, with a focus on molecular biomarkers and examples of analyses of viral pathogens, like SARS-CoV-2, Influenza, West Nile Virus, and their epidemiology.
Course Content
The section includes
- Biological databases
- Homology Search
- Multiple Sequence Analysis
- Phylogenetic and Phylogenomic Analysis
- Evolutionary Virology and Pathogen Emergence
- Molecular monitoring and epidemiology based on Bioinformatics
- Student Presentation
Student Evaluation
- Evaluation in the Greek language
- Multiple choice questions, Questions that require short answers, Questions that require more extensive answers, and presentation of a research paper.
Recommended Bibliography
- Bioinformatics and Functional Genomics, by Jonathan Pevsner
- Bioinformatics, by Pantelis Bagkos
- Bioinformatics, a practical guide, by Andreas D. Baxevanis & Francis Quellette
- PowerPoint slides of the two lecturers, Grigoris Amoutzias and Chrysostomos Dovas
- Bioinformatics
- PLOS Computational Biology
- Molecular Biology and Evolution
- Nucleic Acids Research