Bioinformatics Profile

Introduction

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


I want to start with this bioinformatics 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 (b.vanbreukelen@uu.nl) 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!

NextProvide the required information about you and your background. You can do this using the form below!! (or send an email directly to the coordinator).

Important: The 3 core courses are heavily oversubscribed. To ensure a spot for you in this course, you need to, (when signing up), provide in the CSnD registration form the following information: When asked for your masters (e.g. MCLS, CSnD etc, also write down Bioinformatics.. like so: MCLS-Bioinformatics, CSnD-Bioinformatics etc…) If you fail to do so you might not be able to attend these courses!!!”

Components

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.

Bioinformatics Courses

 

Course Name Osiris-code  EC Date # students
Introduction to Bioinformatics for Life Sciences B-MINBI08 3 Period

30-10-2017

&

03-06-2018

30(20 masters)
Introduction to Python for Life Sciences BMB465014 1.5 Period

23-10-2017

09-04-2018

30(20 masters)
Introduction to R for Life Sciences BMB502214 1.5 Period

27-11-2017

05-02-2018

30(20 masters)
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  23-04-2018  20
Introduction to Research Data Management B-MINRDM  3  e-learning
 Introduction to Analytics Algorithms for Omics for the Life Sciences  BMB.. 1,5 18-06 2018  20
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