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Fiche de cours

Reasoning and Logic in Experimental and Computational Biology - 51/IECB/Série 3

Reasoning and logic in experimental and computational biology

Faculté de gestion: Ecole doctorale (FBM-DOCT)

Responsable(s): Olivier Delaneau, Paul Franken, David Gfeller

Période de validité: 2018 ->

Pas d'horaire défini.

Tutorial (optionnel)

Annuel

Langue(s) d'enseignement: anglais
Public: Oui
Crédits: 1.00

Objectif

: 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

Students will be evaluated based on their participation in the faculty-moderated discussions.
*Attendance at each of the Monday and Wednesday sessions is required.

Bibliographie

Fournie directement par les responsables de la séance de discussion / Will be supplied directly by session discussion leaders

Exigences du cursus d'études

Aucun

Conditions d'octroi

Evaluation positive de la participation active par le tuteur.

Conditions d'accès

Inscription auprès de l'Ecole doctorale. Série 3.

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