Fiche de cours
Reasoning and Logic in Experimental and Computational Biology - 13a/Registration via doodle
Faculté de gestion: Ecole doctorale (FBM-DOCT)
Responsable(s): Paul Franken, David Gatfield, Alexandre Reymond
Pas d'horaire défini.
Tutorial
Annuel
Langue(s) d'enseignement: anglais
Public: Oui
Crédits: 1.00
Objectif
Objective: Tutorial in the thematic field "Integrated Experimental and Computational Biology"
Modern, high throughput data generation methods allow the production of comprehensive data sets and thus a quantitatively unique analysis of many biological phenomena.
The tutorial "Reasoning and Logic in Experimental and Computational Biology" will aim at illustrating the unique conceptual approaches to appropriate experimental design, data analysis and data interpretation required when using high throughput methods.
Contenu
Presentation and discussion of published examples of the application of high throughput DNA sequencing and other genomic methods, applied to a range of different biological questions.
Evaluation
Attendance at both the Monday student session and Wednesday discussion is required!! Students will be evaluated based on their participation in the faculty-moderated discussions
Exigences du cursus d'études
Aucun
Conditions d'octroi
Evaluation positive de la participation par le tuteur.
Conditions d'accès
Inscription auprès de l'Ecole doctorale. Série 1.