Bioinformatics

Course: BIOLOGY (Master) FULL-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 search for the necessary information. PR10. Present the results of scientific work in writing (in the form of a report, scientific publications, etc.) and orally (in the form of reports and defense of the report) using modern technologies, argue their position in the scientific discussion. PR11. Carry out statistical processing, analysis and generalization of the obtained experimental data using software and modern information technology. 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. PR17. Apply modern learning technologies for teaching special subjects. PR 19. Solve scientific-theoretical, research and applied problems of biology by appropriate methods.
Form of study
Full-time form
Prerequisites and co-requisites
1. Successful mastering of the courses "Biochemistry", "Molecular Biology", "Genetics", "Biophysics". 2. Knowledge of the theoretical foundations of mathematics, computer science, molecular biology, genetics and biophysics. 3. Ability to independently apply knowledge of molecular biology, etc. disciplines, use a computer, work with scientific literature.
Course content
The course is devoted to the basic principles of bioinformatics analysis. The basic databases of biological information and typical online tools for bioinformatics analysis; principles of search, alignment and analysis of nucleotide and amino acid sequences; principles of phylogenetic analysis; structural classification of biopolymers; principles of prediction of spatial structures of proteins and RNA; principles of modeling molecular dynamics; basics of genomics, transcriptomics and proteomics.
Recommended or required reading and other learning resources/tools
1. Леск А.М. Introduction to bioinformatics. - N.Y .: Oxford University Press, 2002. 2. Claverrie J.-M., Notredame C. Bioinformatics for dummies. - Hoboken, USA: Wiley publishing, 2007. 3. Xiong J. Essential bioinformatics. - Cambridge, UK: Cambridge University Press, 2006. 4. Pevsner J. Bioinformatics and Functional Genomics. - Wiley-Blackwell, 2009. Access mode: http://www.bioinfbook.org.
Planned learning activities and teaching methods
Lectures, practical work, independent work
Assessment methods and criteria
Semester assessment: 1. Modular test work1: PH 1.1 - 20 points / 10 points 2. Modular test work 2: PH 1.2 - 20 points / 10 points 3. Reports on practical and independent work: RN 1.1, 1.2, 2.1, 2.2, 3.1, 4.1 - 20 points / 10 points Final assessment: in the form of an exam
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Alexander Viktorovych Zholos
Department of Biophysics and Medical Informatics
Biology And Medicine Institute Science Educational Center
Andrei Volodymyrovych Sivolob
Department of General and Medical Genetics
Biology And Medicine Institute Science Educational Center