Course detail
Bioinformatics
FIT-IV108Acad. year: 2017/2018
An advanced course in bioinformatics (lecture and computer lab) building upon elementary mol.biology and/or bioinformatics courses.
Language of instruction
Czech, English
Mode of study
Not applicable.
Guarantor
Department
Learning outcomes of the course unit
Item has no knowledges.
Prerequisites
There are no prerequisites
Co-requisites
Not applicable.
Planned learning activities and teaching methods
Not applicable.
Assesment methods and criteria linked to learning outcomes
Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.
Course curriculum
- Syllabus of lectures:
1. Biological language (sequence segmentation, information-statistical analysis of biological sequences)
2. Pattern matching (algoritms based on filtration and suffix arrays)
3. Heuristic algorithms for similarity searching in biological sequences (BLAST, BLAT, Pattern Hunter)
4. Regular expressions in bioinformatics
5. Algorithms for analysis and prediction of structural data (secondary strukture, contacts inb proteins, domain identification)
6. Algorithms for analysis and prediction of structural data (3D structure, structural comparisons)
7. Working with molecular structures in Pymol
8. New methods of DNA sequencing
9. Genome assembly and other operations on short nucleic acid sequences
10. Prediction of melting temperature in DNA and other nucleic acids (program mfold)
11. RNA secondary structure
12. DNA computing
13. Comparative genomics of human (analysis of scientific papers)
Work placements
Not applicable.
Aims
Item has no goals.
Specification of controlled education, way of implementation and compensation for absences
There are no checked study.
Recommended optional programme components
Not applicable.
Prerequisites and corequisites
Not applicable.
Basic literature
Not applicable.
Recommended reading
Not applicable.
Classification of course in study plans
Type of course unit
Lecture
13 hod., optionally
Teacher / Lecturer
Syllabus
1. Biological language (sequence segmentation, information-statistical analysis of biological sequences)
2. Pattern matching (algoritms based on filtration and suffix arrays)
3. Heuristic algorithms for similarity searching in biological sequences (BLAST, BLAT, Pattern Hunter)
4. Regular expressions in bioinformatics
5. Algorithms for analysis and prediction of structural data (secondary strukture, contacts inb proteins, domain identification)
6. Algorithms for analysis and prediction of structural data (3D structure, structural comparisons)
7. Working with molecular structures in Pymol
8. New methods of DNA sequencing
9. Genome assembly and other operations on short nucleic acid sequences
10. Prediction of melting temperature in DNA and other nucleic acids (program mfold)
11. RNA secondary structure
12. DNA computing
13. Comparative genomics of human (analysis of scientific papers)
2. Pattern matching (algoritms based on filtration and suffix arrays)
3. Heuristic algorithms for similarity searching in biological sequences (BLAST, BLAT, Pattern Hunter)
4. Regular expressions in bioinformatics
5. Algorithms for analysis and prediction of structural data (secondary strukture, contacts inb proteins, domain identification)
6. Algorithms for analysis and prediction of structural data (3D structure, structural comparisons)
7. Working with molecular structures in Pymol
8. New methods of DNA sequencing
9. Genome assembly and other operations on short nucleic acid sequences
10. Prediction of melting temperature in DNA and other nucleic acids (program mfold)
11. RNA secondary structure
12. DNA computing
13. Comparative genomics of human (analysis of scientific papers)