Bioinformatics
Course:
Structural unit: Institute of High Technologies
            Title
        
        
            Bioinformatics
        
    
            Code
        
        
             ДВС.1.01.01
        
    
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            Second
        
    
            Year of study when the component is delivered
        
        
            2023/2024
        
    
            Semester/trimester when the component is delivered
        
        
            3 Semester
        
    
            Number of ECTS credits allocated
        
        
            4
        
    
            Learning outcomes
        
        
            The ability to build adequate models of chemical phenomena, to study them to obtain new ones
conclusions and deepening the understanding of nature, including the use of molecular, mathematical and computer modeling methods.
Ability to adhere to ethical standards of research and professional activity in the field of chemistry (academic integrity, risks to people and the environment, etc.).
The ability to formulate new hypotheses and scientific problems in the field of chemistry, to choose appropriate ones
directions and appropriate methods for their solution, taking into account the available resources.
Understanding the ethical standards of research and professional activity in the field of chemistry (scientific
virtue)
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            1. Master the academic disciplines "Theoretical and applied bioinformatics", "Structural
and functional genomics".
2. Have basic computer information search and use skills
Internet resources.
        
    
            Course content
        
        
            The subject of the educational discipline is methods of analysis of the primary and spatial structure of proteins, which
are used to determine the features and functional role of proteins in the body.
The course provides an overview of the main modern methods of molecular biology for laboratory and
camera processing of biological material for the purpose of establishing family relations between
organisms, construction of phylogenetic trees and molecular identification of plants, animals and fungi:
DNA extraction, amplification, assembly of nucleotide sequences, multiple alignment
sequences, construction of phylogenetic trees and secondary structure of RNA.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Rigden, D. J., ed. From Protein Structure to Function with Bioinformatics, Springer, 2017
2. Wu C. H., Arighi C. N., Ross K. E., eds. Protein Bioinformatics: From Protein Modifications and
Networks to Proteomics, Humana Press, 2017.
3. Pazos F., Chagoyen M. Practical Protein Bioinformatics, 2015.
4. Abriata L A, Peraro M D. State-of-the-art web services for de novo protein structure prediction/
Briefings in Bioinformatics, Volume 22, Issue 3, May 2021, bbaa139,
https://doi.org/10.1093/bib/bbaa139
        
    
            Planned learning activities and teaching methods
        
        
            lectures, practical
        
    
            Assessment methods and criteria
        
        
            - semester assessment:
1. Independent semester work: RN 2.1. - 48 points/32 points.
2. Report during the lecture: RN 1.4,3.1 - 12 points/6 points.
- final assessment: exam – 40 points.
Total: 100 points/60 points.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Nyporko
                    Oleksiy
                    
                
                
                    Department of Molecular Biotechnology and Bioinformatics 
Institute of High Technologies
            Institute of High Technologies
Departments
The following departments are involved in teaching the above discipline
                        Department of Molecular Biotechnology and Bioinformatics
                    
                    
                        Institute of High Technologies