Course in Bioinformatics and Systems Biology
Course content
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.
MSc in Human Biology - compulsory
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
Lectures and practical exercises.
This course is not available for credit transfer students and other external students.
- ECTS
- 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 assessment
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
- Category
- Hours
- Lectures
- 20
- Preparation
- 15
- Exercises
- 20
- English
- 55
Kursusinformation
- Language
- English
- Course number
- SHUA13043U
- ECTS
- 2,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 week
- Placement
- Block 1
Week 38
- Schedulegroup
-
See Syllabus
- Capacity
- 40 participants
- Studyboard
- 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 (17-76696c6d82706c69366c77766b706d7e69486b787a36737d366c73)
- Isabella Friis Jørgensen (18-6b756364676e6e63306c717469677075677042657274306d7730666d)
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Kursusinformation for indskrevne studerende