Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
3 credits
30.0 h + 10.0 h
Q1
Teacher(s)
Gatto Laurent;
Language
French
Prerequisites
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.
Content
This bioinformatics course will focus on the following themes:
- Improvement of R programming
- Experimental designs using in omics analyses.
- Omics data transformation and visualisation.
- Multivariate data exploration and analysis.
Teaching methods
The course will be composed of practical sessions, during which the students will implement solutions to data analysis problems using the R programming language and the RStudio development environment, and will use the unix command line.
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.
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
The course evaluation will be practical and computer-based; the students will prepare a reproducible report in Rmd using RStudio answering to the exam questions addressing small scale data analysis task similar to those presented during the course.
Online resources
The course material is available online: https://uclouvain-cbio.github.io/WSBIM1322/
Faculty or entity
SBIM
