MSc seminars for Bioinformatics (course group defined by Faculty of Mathematics, Informatics, and Mechanics)
Course group schedules
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2024 - Academic year 2024/25 2025 - Academic year 2025/26 (there could be semester, trimester or one-year classes) |
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| 2024 | 2025 | |||||||
| 1000-5D22ADB |
 
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Classes
Academic year 2024/25
Groups
- (from 2025-10-01) Master seminars for Mathematics
Brief description
This seminar focuses on the application of computational biology and machine learning to biomedical data from modern technologies such as genome sequencing (including single-cell), medical imaging, and molecular profiling. We explore probabilistic models (including graphical ones), statistical data analysis, machine learning (including deep learning), and generative approaches, particularly in the context of cancer research. |
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| 1000-5D22ADP |
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Classes
Academic year 2024/25
Groups
Brief description
The subject of the seminar covers the basic branch of computational biology which is proteomics, i.e. the analysis of proteins in living organisms. We focus on algorithms and mathematical models that allow for the interpretation of data obtained by the spectrometric technology. |
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| 1000-5D25BET | n/a |
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Classes
Academic year 2025/26
Groups
- (from 2025-10-01) MSc seminars for Bioinformatics
- (from 2025-10-01) Master seminars for Mathematics
- (from 2025-10-01) MSc seminars for Machine Learning
Brief description
The subject of the seminar covers the basic branch of computational biology which is proteomics, i.e. the analysis of proteins in living organisms. We focus on algorithms and mathematical models that allow for the interpretation of data obtained by the spectrometric technology. |
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| 1000-5D22BGO |
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Classes
Academic year 2024/25
Groups
Brief description
The subject of the seminar covers the basic sections of bioinformatics and computational genomics, with particular emphasis on the applied mathematical models and algorithmic methods. We are interested in molecular sequence analysis, comparative genomics, evolution and organization of genomes, phylogenetics and molecular evolution, as well as analysis of data from high-throughput sequencing and other large-scale experimental techniques of modern genomics. |
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| 1000-5D25OGR |
Computational regulatory genomics
(from 2025-10-01)
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n/a |
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Classes
Academic year 2025/26
Groups
- (from 2025-10-01) MSc seminars for Bioinformatics
- (from 2025-10-01) Master seminars for Mathematics
- (from 2025-10-01) MSc seminars for Machine Learning
Brief description
The seminar topics cover the basic branches of computational biology, with particular emphasis on the process of regulation of gene expression. We are interested in predicting the activity of genomic regulatory elements, reconstructing gene regulatory networks, spatial organization of genomes, and predicting protein structure and function. The methods used include statistical data analysis, machine learning, in particular deep learning, probabilistic models and molecular dynamics simulations. |
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| 1000-1D10MBS |
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Classes
Academic year 2024/25
Groups
Brief description
We will discuss mathematical models and methods used in natural and social sciences. We will analyze complex processes in Physics, Biology, Medicine and Social Sciences that can be described by discrete and continuous dynamical systems both deterministic and stochastic. |
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