Today’s life sciences scientist needs to be able to deal with large amounts of biological data that come from high-throughput experimental techniques. Therefore a solid understanding of biological processes combined with bioinformatic and statistical knowledge on how to handle and analyze such large datasets is an essential skill. The Bioinformatics profile provides them with a much needed essential set of bioinformatics skills for future life science research.
The Bioinformatics profile consist of multiple bioinformatics courses that introduce life science students into techniques and algorithms that are used in bioinformatics. Those topics include an overview of the bioinformatics field, and introduction into programming/scripting and analysis of large datasets using the [R] statistical programming language. Also, students will learn hands-on more advanced bioinformatics techniques embedded in research groups by doing an internship
The Bioinformatics-profile is offered as a standard (core) profile (33 EC) or an extended profile for those students with available electives (extra 12 EC).
– Core Bioinformatics Profile (33 EC): this profile comprises three core (bold) courses of 6 EC total, a selection of bioinformatics courses totaling another 9 EC and a bioinformatics project of (18 EC)
– Extended Bioinformatics Profile (45 EC): this profile comprises three core (bold) courses of 6 EC total, a selection of bioinformatics courses totaling another 6 EC and an Internship Bioinformatics (equal to a minor project of 33 EC). The extended profile is our preferred way of offering this profile.
I want to start with this profile
Great, and welcome to the Bioinformatics Profile!
This profile is a research oriented profile, which basically means, we like you to do a minor research internship. Why? Well, the most optimal route for a scientist to be able to find a job in research is the route that gives you the most experience in doing actual research. An internship is aimed to do just that. What this profile does is adding in a flavour of bioinformatics to your research experience.
Bioinformatics nowadays has become just as an important tool as was PCR 15-20 years ago, you cannot do without when analysing data from large (BIG) data sets that are often generated in the life sciences. Therefore the internship or project, preferable a minor ‘stage’, is central in this profile. However, to be able to add a significant bioinformatics part to your internship or project you need to have some basic bioinformatics skills, such as Programming (in Python) and how to perform an analysis in a relevant (statistical) environment such as the [R] language. These are offered as core courses. In addition a good idea about the bioinformatics field, as given in the introduction to bioinformatics is required.
We recommend to follow these courses already during the first year of your masters or as early as possible, as without at least programming and [R] knowledge an internship or research project is not possible.
When sufficient prior knowledge is present you can also choose to take one of the more advanced bioinformatics courses that we offer.
Before you start with this profile you need to make sure you have approval from your master’s programme coordinator. To be admitted to the profile please contact our profile coordinator (firstname.lastname@example.org) and discuss your ideas and plans. Also at that time we can plan the courses you like to attend, so that we can make the proper arrengements for you to ensure a place in those courses (as they are often over subscribed).
Than: Download the General Application Form from the GSLS website, have it signed by the profile coordinator AND your masters programme coordinator!
Next: Provide the required information about you and your background. You can do this using the form below!! (or send an email directly to the coordinator).
|Course Name||Osiris-code||EC||Date||# students|
|Introduction to Bioinformatics for Life Sciences||B-MINBI08||3||
|Introduction to Python for Life Sciences||BMB465014||1.5||
|Introduction to R for Life Sciences||BMB502214||1.5||
|Bioinformatics and evolutionary genomics||B-MBIEG06||3|
|Structural Bioinformatics & Modelling||SK-MSBM||3||22-01-2018||20|
|Advanced R for Life Sciences||B-MADR||1.5||19-02-2018||30|
|Advanced Bioinformatics: Data mining and data integration for Life Sciences||BMB502114||1.5||05-03-2018||30|
|Advanced Omics for Life Science||BMB502316||1,5||
|Introduction to Research Data Management||B-MINRDM||3||e-learning|
|Choose either a Project (Core Profile) or Internship (extended Profile) CLICK HERE TO SEE A LIST OF PROJECT and INTERNSHIPS in our community||B-MBIPR||18||project|
|Internship Bioinformatics (RUBRICS PDF)||–||33|