BioSB course portfolio

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
Last editionNext edition
Programming in Pythontba
Kick start RMay 2017tba
Programming in MatlabMarch 2017tba
Discovering Systems Biology PrinciplesNov 2015
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
 Last editionNext edition
Pattern RecognitionSept 20172019
Managing & Integrating Information in the Life SciencesJan 20182020
Optimisation Techniques in Bioinformatics and Systems BiologyFeb 20182020
Multi-scale modellingtba
Comparative Genomics: from Evolution to FunctionNov 20162018
Protein Structures: Production, Prowess, Power, Promises and ProblemsNov 20172019
Algorithms for Biological NetworksJune 20182020
Quantitative and Predictive ModellingJun 20172019
BioSB Specific courses
Course duration: 1-5 days; Course frequency: irregular
Last editionNext edition
Python course for Life ScientistsNov 2016tba
Constraint-Based ModellingMay 2016
Bioinformatics for Translational Medicine using Galaxy17-19 Oct 2018
Exploring System Properties Using Various Modelling Approaches
Systems Medicine: Modelling EpigeneticsFebr 2016
Metagenomics applications and Data AnalysisMarch 2014
RNA-seq Data AnalysisNov 201726-31 Aug 2018
Advanced de novo assembly and resolving complex genomic regionsJun 2015
EPS Postgraduate course ‘Genome Assembly’April 2015
NGS in Diagnostics course: Genome resequencing in a Medical Diagnostic ContextSept 20174-6 Sept 2018
MGC Next-generation sequence data analysisAug 2017 27-29 Aug 2018
Data Integration in the Life SciencesFebr 2015
Life Sciences with IndustryFebr 201719-23 Nov 2018
Biological Network AnalysisSept 2015