Introduction à la bio-informatique

wsbim1207  2021-2022  Bruxelles Woluwe

Introduction à la bio-informatique
3 credits
15.0 h + 20.0 h

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
This introduction to bioinformatics and data science applied to biomedical sciences will introduce students methodologies and technologies used in bioinformatics. They will learn how to manage bioinformatics projects and how to manipulate and visualise data of average size.

At the end of this learning unit, the student is able to :

After this course, the students will understand what bioinformatics is and when to use it. They will be able to  
  • Analyse a simple bionformatics problem, and implement a bioinformatics solution to solve it.  
  • Decompose a problem in simpler sub-problems and solve these as analysis scripts.  
  • Read and understand existing scripts.  
  • Use informatics tools to help and support their programming tasks.  
  • Understand technical documentation for the R programming language and Bioconductor vignettes.  
  • Write their own R scripts and small analysis reports in Rmd.  
This course contributes to the leaning goals 2a, 2c, 3c, 5a, 5b, 5c, 5d of the bachelor's programme in biomedical sciences. 
This introductory course to bioinformatics will focus on the following themes:
  • What is bioinformatics and it application domains.
  • Technologies and methodologies used in bioinformatics.
  • Introduction to omics data and technologies.
The data science applications to biomedical sciences will focus on:
  • Data analysis project management and reproducible research.
  • Spreadsheets for data organisation.
  • The RStudio programming environment.
  • Data analysis and programming in R.
  • Introduction to data structures in R.
  • Data handling and visualisation.
  • High throughput data with R and Bioconductor.
Teaching methods
The course will be composed of practical sessions, during which the students will implement solutions to data analysis problems relevant to biomedical sciences using the R programming language and the RStudio development environment.
Course attendance to all sessions (volume 1 and 2) is mandatory. In case of repeated unjustified absence, further attendance to the final exams might be excluded.
Evaluation methods
Continuous evaluation: the students will be given regular test throughout the course. Those that have an average mark equal or greater than 12 and have successfully completed the last recapitulative test will be dispensed of the final exam.
The final exam will be practical and computer-based; the students will prepare a reproducible report in Rmd using RStudio answering exam questions addressing small scale data analysis task similar to those presented during the course. The test scores will be ignored when taking the final exam.
Online resources
The course material is available online:
Teaching materials
  • cours en ligne et informations complémentaires sur moodle. Obligatoires.
Faculty or entity

Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Additionnal module in Biomedical Sciences

Bachelor in Biomedicine