SHUA13043U Course in Bioinformatics and Systems Biology
MSc in Human Biology - compulsory
Bioinformatics plays a decisive role in molecular biology, but has also become a key topic in medical research. The focus in bioinformatics is on integrative analysis of high-throughput biological data, ranging from molecular-level data on sequences and macromolecular structures to clinical data. A major aim of this is to gain insights into complex diseases such as diabetes and cancer. The objectives of the course are to provide the students knowledge of a range of methods for finding, analyzing and integrating heterogeneous biological data in the context of a specific disease, and to provide them with the necessary foundation to critically evaluate results of such analyses.
After completing the course the student is expected to:
Knowledge
- Discuss how the information from biological experiments may be represented in an electronic format
- Discuss how heterogeneous data can be integrated and evaluate
Skill
- Search for data in publicly available databases such as GenBank, PDB, STRING
- Use data analysis programs such as Unix, PyMol and Cytoscape
- Produce and critically evaluate sequence alignments and protein networks
- Present heterogeneous data on a biological system for answering
biological questions
Competence
- Master a range of methods for finding, analyzing and integrating heterogeneous biological data in the context of a specific disease
- Critically evaluate results of such analyses
- Category
- Hours
- Lectures
- 20
- Preparation
- 15
- Exercises
- 20
- Total
- 55
This course is not available for credit transfer students and other external students.
- Credit
- 2,5 ECTS
- Type of assessment
- Course participation
- Type of assessment details
- Participation in exercises and subsequent preparation of exercise reports
- Aid
- All aids allowed
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
One internal examiner
Criteria for exam assesment
To achieve a course certificate, the student must be able to:
Knowledge
- Discuss how the information from biological experiments may be represented in an electronic format
- Discuss how heterogeneous data can be integrated and evaluate
Skill
- Search for data in publicly available databases such as GenBank, PDB and STRING
- Use data analysis programs such as Unix, PyMol and Cytoscape
- Produce and critically evaluate sequence alignments and protein networks
- Present heterogeneous data on a biological system for answering biological questions
- Master a range of methods for finding, analyzing and integrating heterogeneous biological data in the context of a specific disease
- Critically evaluate results of such analyses
Course information
- Language
- English
- Course code
- SHUA13043U
- Credit
- 2,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 week
- Placement
- Block 1
Week 38
- Schedule
- See Syllabus
- Course capacity
- 40 participants
Study board
- Study Board for Human Biology, Immunology and Neuroscience
Contracting department
- Center for Protein Research
Contracting faculty
- Faculty of Health and Medical Sciences
Course Coordinators
- Nadezhda Tsankova Doncheva (17-7366696a7f6d696633697473686d6a7b664568757733707a336970)
- Isabella Friis Jørgensen (18-6b756364676e6e63306c717469677075677042657274306d7730666d)