SylabUZ
| Course name | Applications of bioinformatics |
| Course ID | 13.4-WB-P-ABio-S21 |
| Faculty | Faculty of Exact and Natural Sciences |
| Field of study | WNB - oferta ERASMUS |
| Education profile | - |
| Level of studies | Erasmus programme |
| Beginning semester | winter term 2024/2025 |
| Semester | 1 |
| ECTS credits to win | 4 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Laboratory | 25 | 1,67 | - | - | Credit with grade |
| Lecture | 15 | 1 | - | - | Credit with grade |
Learning about bioinformatics research methods, bioinformatics databases/services and biological literature databases.
Getting to know selected bioinformatics programs and their applications.
Computer and Internet skills.
Lecture
Bioinformatics databases/services. Analysis of the evolution of organisms and organisms' attractors. Evolutionary distances. Phylogenetic trees and algorithms of their creation. Multiple alignment of sequences. 2D and nD dot-matrix. Dot-matrix cleaning methods. Estimating the significance of the similarity of the compared sequences. The Pan factor and its application. Genetic semihomology. Detection of insertions, deletions and types of semihomology. Determining representatives. Modeling and analysis of protein structures. Analysis of cancer development. Methods of bioinformatics functionality and their implementation.
Laboratory
The subject of practical laboratory exercises relating to and consolidating the knowledge from the lectures:
- analysis of the evolution of organisms, including organisms of industrial importance,
- modeling and analysis of protein structures,
- applications of dot-matrix,
- phylogenetic trees,
- implementation of methods of bioinformatics functionality.
Lecture with multimedia presentations (PowerPoint) and the use of bioinformatics databases/services and specialized bioinformatics programs. Practical exercises with the use of biological databases and specialized bioinformatics programs.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture - the pass mark is to obtain a positive grade from the final bioinformatics essay as a written work.
Laboratory - the condition for obtaining credit are positive grades from reports on laboratory exercises planned for implementation under the laboratory program. The final grade from the laboratory is the arithmetic mean of the grades obtained from the reports.
1. Baxevanis A.D, Ouellette B.F.F. Bioinformatics, John Wiley & Sons, Inc. 2001.
2. Berg J.M, Stryer L., Tymoczko J., Gatto G., Biochemistry, WH Freeman, 2019.
3. Higgs P.G., Attwood T.K., Bioinformatics and Molecular Evolution, Blackwell Publishing Ltd. 2005.
4. Xiong J., Essential Bioinformatics, Cambridge University Press, 2012.
Modified by dr hab. inż. Andrzej Kasperski, prof. UZ (last modification: 27-03-2024 17:26)
