2023-2024 / STAT0077-1

Computing analysis and processing of biological data


25h Th

Number of credits

 Bachelor in biology2 crédits 


Patrick Meyer

Language(s) of instruction

French 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

In various fields of biology, the evolution of technology results in the production of large raw data sets. 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, correlation, p-values).

Specifically, the course will focus on the use of the R language. The professor is a contributor of official R packages since 2008.

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 loading 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 have already acquired in the following areas: statistics and programming.

Planned learning activities and teaching methods

Mini theoretical lectures and practical work on computer.

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

Blended learning

Additional information:

This course is essentially online through videos of theoretical materials, webpages of online exercises and videos of resolution of exercises.

Our RStudio server is available via a web navigator and allows students to perform the practical sessions online. The Ecampus forums are also available for online questions and answers.

Ecampus interrogations can be scheduled at the end of some courses. Those evaluations helps the student understand the tools for the evaluation and can contribute to the grading of the final grading of the first session (rules concerning the interros are well specified on the course webpage).

Finally, presential sessions of questions and answers are planned during the course in order to assist students in the mastery of the course and its related evaluations.

Recommended or required readings

The course is available on the following link and the required passwords are given on the first course as well as on the forum ecampus.



Getting Started with R: An Introduction for Biologists (Oxford Biology 2012)
by Andrew P. Beckerman and Owen L. Petchey

Exam(s) in session

Any session

- In-person

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

Out-of-session test(s)

Additional information:

Each student is evaluated through a practical written exam, on the computer with questions quite similar to the practical sessions. A few theoretical questions can also be inserted in the exam.

It is a written exam (on computers) and it last two hours.

Ecampus interrogations can take place during the courses (information such as duration, starting time, process, grading... are detailed on the webpage of this class) 

Work placement(s)

Organisational remarks and main changes to the course

Lessons are given online.
Some Q&A sessions are typically given in the computer room of bldg B22 (Labo B, floor -1).


Prof. Patrick Meyer
Life Sciences Department

Bdg B22, room 3/03
Campus du Sart-Tilman 
Chemin de la Vallée, 4
4000 Liège - Belgique

email:  patrick.meyer@uliege.be

Association of one or more MOOCs