|Teaching method||Contact hours|
|Course coordinator(s)||dr. ing. H Nijveen|
|Lecturer(s)||dr. MH Medema|
|dr. S Smit|
|dr. ing. H Nijveen|
|Examiner(s)||prof. dr. ir. D de Ridder|
Language of instruction:
Assumed knowledge on:
BIF-20306 (Introduction to Bioinformatics) or SSB-20306 (Bioinformation Technology) and BIF-50806 (Practical Computing for Biologists) or INF-22306 (Programming in Python)
BIF-80336 MSc Thesis Bioinformatics
This course covers the process of bioinformatics data analysis and the interpretation of the results in a biological context. The following topics will be addressed in the course:
- command line usage;
- current bioinformatics data analysis tools;
- automated analysis pipelines;
The first part of the course will cover command line usage (linux), bioinformatics script programming (perl/python), as well as the theory and tools required to analyse data produced by current sequencing technologies and interpret the results. Topics include genome assembly, sequence annotation, gene expression, biological networks, and comparative genomics. During the second part of the course, students - in teams - will apply their knowledge in a small research project. Given a specific biological question and the required data, the goal is to build a data analysis pipeline and describe the biological interpretation.
After successful completion of this course students are expected to be able to:
- be proficient in command line usage;
- run existing data analysis tools using the command line;
- write computer scripts for data analysis;
- design and implement an automated data analysis pipeline connecting multiple tools;
- work with large data volumes (big data from NGS technologies);
- interpret the results of (NGS) data analysis;
- describe a data analysis process;
- describe the biological interpretation and implication of the analysis results.
Hands on course, lectures, and study of relevant literature.
Practical assignments (40%), a written report and oral presentation on the research project (60%).
The course is passed with an average mark of at leats 5.50, which is rounded to a 6. The practical assignments need a 5.00 and the report and presentation need a 5.50 to pass.
Recommended reading: 'Practical Computing for Biologists' - Haddock & Dunn, ISBN-13: 978-0878933914.
|Restricted Optional for:||MPB||Plant Biotechnology||MSc||A: Spec. A - Functional Plant Genomics||2MO|
|Restricted Optional for:||WUBIF||BSc Minor Bioinformatics||2MO|