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Bioinformatics
Titulaire(s) du cours
Vincent DETOURS (Coordonnateur)Crédits ECTS
5
Langue(s) d'enseignement
anglais
Contenu du cours
- microarray normalization-sequence alignment for next generation sequencing
- selection of differentially expressed genes-gene set analysis methods-supervised and unsupervised classification of genome-wide expression profiles
- typical statistical illusions that come with the above,
- If time allows, transcriptome sequencing will be overviewed
Computational methods will be introduced together with the research problems drawn mostly from oncology research. Thus, the student will learn for example:
- to what extent the glogal gene expression varies among different human populations,
- how to predict cancer outcome from gene expression profile,
- how to establish connection between drugs and biological conditons from gene expression databases,
- etc.
Objectifs (et/ou acquis d'apprentissages spécifiques)
Pré-requis et Co-requis
Connaissances et compétences pré-requises ou co-requises
Bachelor level descriptive statistics.
Méthodes d'enseignement et activités d'apprentissages
The course does not present a nicely polished texbook view of science, but science in the making with its ectics, turn arounds and controversies. Lectures are interupted by hands-on exercises in which the student actually use the methods on real life data and reproduce published research results. Students are empowered to conduct their own analysis by reproducing the bioinformatics analysis of a published study.
Contribution au profil d'enseignement
Master in-depth scientific knowledge to understand a problem scientific research and the questions it asks, identify the most relevant experiences and the most appropriate techniques to meet them.
To master a new field of research, to be creative, to be able to be critical and to write a research project.
Master the basic scientific techniques of biomedical research that will enable him/her to develop and implement an experimental approach, to compare its results forecasts, and to assess the validity limits of its model.
To be able to read, interpret, criticize a scientific article To question oneself, to be critical, to debate, to debate and / or to defend one's ideas.
Consider ethical issues and apply ethical behavior.
Références, bibliographie et lectures recommandées
NA
Autres renseignements
Contacts
Vincent.Detours@ulb.be
Any communication regarding the course must contain 'INFO-G4410' in the subject line.
Campus
Erasme
Evaluation
Méthode(s) d'évaluation
- Examen écrit
Examen écrit
- Examen à livre ouvert
- Question fermée à Réponses Multiples (QRM)
Written exam if the sanitary situation allows it, oral otherwise.
Langue(s) d'évaluation
- anglais
- français