BIF-30806 Advanced Bioinformatics

Course

Credits 6.00

Teaching methodContact hours
Literature study8
Practical intensively supervised72
Tutorial36
Self-study
Course coordinator(s)dr. ing. H Nijveen
Lecturer(s)dr. ing. H Nijveen
dr. S Smit
dr. GF Sanchez Perez
prof. dr. ir. D de Ridder
Examiner(s)prof. dr. ir. D de Ridder

Language of instruction:

English

Assumed knowledge on:

SSB-20306 Bioinformation Technology; ABG-30306 Genomics; INF-22306 Programming in Python

Continuation courses:

BIF-80333 MSc Thesis Bioinformatics

Contents:

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;
- programming/scripting;
- 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 analyze 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.

Learning outcomes:

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.

Activities:

Hands on course, lectures, and study of relevant literature.

Examination:

Practical assignments (40%), a written report and oral presentation on the research project (60%).
The practical assignments need a 5 and the report and presentation need a 5.5 to pass.

Literature:

Recommended reading: 'Practical Computing for Biologists' - Haddock & Dunn, ISBN-13: 978-0878933914.

ProgrammePhaseSpecializationPeriod
Restricted Optional for: MPBPlant BiotechnologyMScA: Functional Plant Genomics2MO
MBFBioinformaticsMSc2MO