Education programme

The BioSB education programme covers essential topics of the wide-ranging fields of bioinformatics and systems biology. It offers a wide variety of training courses that enable life scientists to apply modelling and computational approaches in addressing scientific challenges.

The programme consists of three types of courses:

  1. Introductory courses
    Courses intended for novices. These courses can either be face-to-face or e-learning courses. The format differs per course. The course length ranges from 1 to 5 days. The frequency varies, but the aim is to have these courses at least once a year.
  2. Core courses
    Courses for PhD students and other researchers in bioinformatics and systems biology. The topics and themes in the core programme form a coherent curriculum. The courses have a format of 5 days, with additional extra work (before and after ) with a total study load of 3 EC. These courses will be offered once per two years.
  3. Specific courses
    Other courses and workshops that do not fit in the above-mentioned categories. These courses may have a different format and be offered occasionally only. Furthermore, they are often co-organized with other organisations.

Below an overview is given of all BioSB courses. For each course, a link is given to the full course information.
In addition, you may find a synopsis of the BioSB Course portfolio in the full Education Programme (pdf), where information is given about all courses, including coordinators, expected date and a short course description.

Course table

BioSB Introductory courses
Intended for novices; course duration 3-5 days; course frequency: once per year
Programming in Python
Kick start R
Programming in Matlab
Discovering Systems Biology Principles
eCourse Biomolecular principles of the Cell
eCourse Modelling of Biological Processes
eCourse Elementary Calculus in Systems Biology
BioSB Core Courses
Core programme for PhDs in Bioinformatics & Systems Biology; course duration: 5 days; course frequency: once per 2 years; course credits: 3 ECTS
Pattern Recognition
Managing & Integrating Information in the Life Sciences
Optimisation Techniques in Bioinformatics and
Systems Biology
Multi-scale modelling
Comparative Genomics: from Evolution to Function
Protein Structures: Production, Prowess, Power,
Promises and Problems
Algorithms for Biological Networks
Quantitative and Predictive Modelling
BioSB Specific courses
Course duration: 1-5 days; Course frequency: irregular
Python course for Life Scientists
Constraint-Based Modelling
Bioinformatics for Translational Medicine using Galaxy
Exploring System Properties Using Various Modelling Approaches
Systems Medicine: Modelling Epigenetics
Metagenomics applications and Data Analysis
RNA-seq Data Analysis
Advanced de novo assembly and resolving complex genomic regions
EPS Postgraduate course ‘Genome Assembly’
NGS in Diagnostics course: Genome resequencing in a Medical Diagnostic Context
MGC Next-generation sequence data analysis
Data Integration in the Life Sciences
Life Sciences with Industry
Biological Network Analysis