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BIOINFORMATICS


Lesson code: 
GM.MGB.6.7
Teaching Units: 
3
Credits (ECTS): 
5
Teachning (hours): 
2
Practical (hours): 
0
Laboratory (hours): 
2

Cognitive: Training on applications of informatics on the organization and understanding of biological information. Familiarization with the management, examination, and analysis of mainly molecular data for biological inference.   

Affective: Appreciation of the modern analytical practices of biological data and of the role of meta-analysis. Understanding of the manipulation capabilities of primary and secondary biological data and of the numerous future applications of bioinformatics.

Skills: Training on the use of internet databases. Training on data retrieval, comparison, and analysis. Familiarization with computer software and internet servers for use in homology assessment, genome analysis, 3D structure, phylogenetic analysis of DNA and proteins. Introduction to evolutionary models and training on the basic steps and troubleshooting of phylogeny reconstruction.

Teaching Methods: 

Lectures and laboratory exercises.

Course Contents: 

Definition, design, and structure of databases. Search strategies. Analysis and evaluation of search results. Prediction of protein structure. Motif analysis. Determination of 3D structure. Multiple alignment and establishment of homology. Evolutionary models. Construction and evaluation of phylogenetic trees. Metabolic pathways. DNA micro-arrays. Future of bioinformatics and developments in computational biology.

Laboratory Exercises: 

1. Use of databases and search strategies, 2. Retrieval of biological information, 3. Multiple alignment, 4. Use of internet servers for homology establishment, 5. Use of computer software and internet servers for sequence analysis, 6. Phylogenetic tree construction.

 

 

Recommended books: 

1. Baxevanis, A.D., Ouellette, F. 2004. Bioinformatics. Scientific Publications Parisianou Ltd. Athens (Supervision of Greek edition: Evaggelos Ν. Moudrianakis, Stavros Ι. Chamodrakas).

Learning Activities: 

Attending lectures, performing specific assignments, practising technical or laboratory skills, group work.

Assessment Methods: 

Written examination, paper.

Blackboard / Website: 

Blackboard