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
15.0 h + 20.0 h
Q2
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.
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.
Aims
At the end of this learning unit, the student is able to : | |
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After this course, the students will understand what bioinformatics is and when to use it. They will be able to
This course contributes to the leaning goals 2a, 2c, 3c, 5a, 5b, 5c, 5d of the bachelor's programme in biomedical sciences.
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The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
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.
- 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.
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/WSBIM1207/
Faculty or entity
SBIM
