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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

Période de validité: 2018 -> 2018

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.

Canton de Vaud
Swiss University
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