Computational Molecular Medicine 1000-2M14OMM
Program:
1 Introduction to molecular biology and medicine.
2 Basic biotechnology: microarrays, mass spectrometry, sequencing.
3 Array of Comparative Hybridization: algorithms for data analysis.
4 Structural mutations and genome architecture.
5 Genetics: Mendelian diseases.
6 Transcriptomic microarrays: algorithms for data analysis.
7 Transcriptomic microarray in diagnosis.
8 Mass spectrometry: algorithms for automatic interpretation of signals.
9 Mass spectrometry in medical diagnostics.
10 Modeling the molecular signaling pathways.
11 Methods for analysis of models .
13 Oncogenic signaling pathways.
Type of course
Prerequisites
Learning outcomes
knowledge:
1. has in-depth knowledge of the fields of mathematics necessary for bioinformatics (probability, statistics, differential equations) (K_W01)
skills:
1. can prepare oral presentation in Polish and/or English on computer science or interdisciplinary topic (K_U11)
2. can prepare (also in English) scientific report (K_U13)
Competence
1. knows the limits of his own knowledge and understands the need for further
education, including the acquisition of interdisciplinary knowledge (K_K01)
2. can precisely formulate questions that deepen their understanding of the topic or find missing elements of reasoning (K_K02)
Assessment criteria
Presentation and the project, which completion are necessary to take the exam (oral exam).
Bibliography
Darren Wilkinson, Stochastic Modelling for Systems Biology, Chapman & Hall, 2011.
K.A Do, Z.S. Qin, M. Vanucci, Advances in Statistical Bioinformatics Models and Integrative Inference for High-Throughput Data, Cambridge University Press, 2013.
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Bachelor's degree, first cycle programme, Computer Science
- Master's degree, second cycle programme, Computer Science
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: