2023-2024 / INFO0956-1

Introduction to biological data analysis


5h Th, 20h Mon. WS

Number of credits

 Master in bio-informatics and modelling (120 ECTS)3 crédits 


Marilaure Grégoire, Patrick Meyer


Patrick Meyer

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The course will consist of a hands-on discovery of computational and statistical tools suitable for the analysis of biological data sets.

Various concepts will be reviewed through exercices, from general concepts (vectors and matrices, p-values) to the implementation of integrated analysis solutions required by specific problems.

Specifically, the course will focus on the use of the R language.

Learning outcomes of the learning unit

Reflexes and practical autonomy needed to address the processing and analysis of complex biological data sets with the R software, from multi source data compilation to the summary statistics and results visualization. Ability to plan the different stages of a data analysis.

Prerequisite knowledge and skills

Students are encouraged to review the basics they may have already acquired in the following areas: statistics and programming.

Planned learning activities and teaching methods

Mini theoretical lectures, demonstrations and step by step exercises, practical work on computer with challenges to solve and independent practice.

Mode of delivery (face to face, distance learning, hybrid learning)

Blended learning

Additional information:

Since 2023-2024 (Master BIM/BBMC reform), this course is only accessible for students repeating a year. This course is officially replaced by OCEA022.



This course is entirely video-based (theory and practice).

This course can be followed in French or English.

Recommended or required readings

The slides and the exercises are available online at web address: www.bioinfo.uliege.be/classes/OCEA0224/

The password is available in the ecampus forum of this class.

Exam(s) in session

Any session

- In-person

written exam ( multiple-choice questionnaire, open-ended questions )

Out-of-session test(s)

Additional information:

The course evaluation will be based on written examination on computer. 

Ecampus interrogations can be planned at the end of some lessons (see schedule on the web page of this course). Those interrogations can contribute to the final grading of the first session.

Work placement(s)

Organisational remarks and main changes to the course

The use of a laptop is required at all sessions to follow demonstrations and conduct personal programming exercises.
The software RStudio is available on our Rstudio-server using any web browser.


Prof. Patrick Meyer Institut de Botanique B22 (P70) www.bioinfo.uliege.be/meyer/

Association of one or more MOOCs