22MMDB - Molecular Diagnostics with Bioinformatics
Course specification | ||||
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Course title | Molecular Diagnostics with Bioinformatics | |||
Acronym | 22MMDB | |||
Study programme | Biochemical Engineering and Biotechnology | |||
Module | ||||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 4.0 | Status | ||
Condition | Облик условљености | |||
The goal | To gain the knowledge about identification of microorganisms using genetic information and molecular techniques. | |||
The outcome | Students will gain theoretical knowledge about the molecular basis for the systematics of organisms, particularly those based on the sequence of the 16/18 S rRNA encoding gene, and use of this sequence for the rapid identification of organisms. Another learning point is gaining theoretical knowledge and practical experience with application of molecular techniques that can be used for the analysis of complex microbial ecosystems that can be found in food, water and other biological systems. | |||
Contents | ||||
Contents of lectures | Тheoretical knowledge about systematics of organisms based on the DNA sequence, and the use of molecular techniques for the analysis of (complex) microbial ecosystems. The main focus of the subject is understanding principles and interpretation of results obtained with the following molecular techniques: isolation of nucleic acids, polymerase chain reaction (PCR), ligation detection reaction (LDR), hybridization of DNA molecules with oligonucleotide probes both on the level of cells, or on the DNA array platforms, molecular techniques for profiling such as denaturant gradient gel electrophoresis (DGGE). The subject will give basis for bioinformatics analysis that include searches in the public databases, analysis and identification of organisms based on the DNA sequence. | |||
Contents of exercises | Practical part of the subject will include laboratory projects, where students will apply some of the molecular techniques that will be applied for the diagnostics of model ecosystems. Bioinformatics exercises will include analysis of the 16S or 18S rRNA sequence using software such as ClustalX and ARB and searches of the public databases. | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
1 | 1 | 1 | ||
Methods of teaching | Theoretical lectures, laboratory work and bioinformatic excersises. | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 20 | Test paper | ||
Practical lessons | 20 | Oral examination | 60 | |
Projects | ||||
Colloquia | ||||
Seminars |