Bioinformatics

Course: BIOLOGY (Master) PART-TIME

Structural unit: Biology And Medicine Institute Science Educational Center

Title
Bioinformatics
Code
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
3
Learning outcomes
PR2. Use libraries, information databases, Internet resources to find the information you need. PR10. Present the results of scientific work in writing (in the form of a report, scientific publications, etc.) and orally reports and report defense) using modern technology, to argue their position in the scientific discussion. PR11. To carry out statistical processing, analysis and generalization of the received experimental data with use of software and modern information technologies. PR14. Adhere to the norms of academic integrity in the study and conduct of scientific activities, know the basic legal norms for the protection of intellectual property. PR15. Be able to independently plan and perform an innovative task and formulate conclusions based on its results. PR19. Solve scientific-theoretical, research and applied problems of biology by appropriate methods.
Form of study
External form
Prerequisites and co-requisites
1. Successful mastering of the courses "Physics", "Biochemistry", "Molecular Biology", "Biophysics". 2. Know: mathematical analysis, computer science, molecular biology, genetics and biophysics. 3. Ability to independently apply knowledge of biophysics, etc. disciplines, use a computer, work with science literature.
Course content
The course is devoted to the principles of bioinformatics analysis and acquaintance with the available tools for its implementation. The main databases of biological information and tools for bioinformatics analysis are considered. Approaches to search, homologous alignment and analysis of nucleotide and amino acid sequences, principles of phylogenetic analysis, principles of prediction of spatial structures of proteins and RNA are covered; principles of modeling molecular dynamics
Recommended or required reading and other learning resources/tools
1. Michael Sundstrom, Martin Norin Structural Genomics and High Throughput Structural Biology. – 2005, P. 304. 2. Ogloblya O.V., Miroshnichenko M.S., Kosterin S.A. Computer modeling in biology - Kyiv: Azbuka, 2012, 120 p. 3. A.V. Sivolob Molecular Biology.-K.: Publishing and Printing Center "Kyiv University", 2008, 384 p. 4. Martin Karplus Guide to Biomolecular Simulations (Focus on Structural Biology). –2005, 224 p. 5. Xiong J. Essential bioinformatics. – Cambridge, UK: Cambridge University Press, 2006. 6. Pevsner J. Bioinformatics and Functional Genomics. – Wiley-Blackwell, 2009. Available at: http://www.bioinfbook.org.
Planned learning activities and teaching methods
Lectures, practical work, independent work.
Assessment methods and criteria
-semester assessment: 1. Modular test 1 (conducted remotely): PH 1.1 - 40 points / 20 points 2. Modular test work 2 (conducted remotely): PH 1.2 - 40 points / 20 points 3. Reports on practical and independent robots: PH 2.1, 2.2, 3.1, 4.1– 20 points / 10 points - -final evaluation: in the form of a credit
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Olexandr Volodymyrovych Ogloblya
Department of Biophysics and Medical Informatics
Biology And Medicine Institute Science Educational Center

Departments

The following departments are involved in teaching the above discipline

Department of Biophysics and Medical Informatics
Biology And Medicine Institute Science Educational Center