Fiches de cours

Statistics for genomic data analysis

MATH-474

Enseignant(s) :

Goldstein Darlene

Langue:

English

Summary

After a short introduction to basic molecular biology and genomic technologies, this course covers the most useful statistical concepts and methods for the analysis of genomic data.

Content

Keywords

statistics; statistical methods; data analysis; DNA; RNA; mRNA; genomics; genomic data; microarray; sequencing data; NGS; NGS technologies; machine learning; R statistical software; BioConductor

Learning Prerequisites

Important concepts to start the course

Elementary statistics

Previous experience with R is helpful (but not necessary)

 

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Lectures and computer practical exercises

Expected student activities

Regular attendance in class, practical exercises, prepare a short report (max. 10 pages) on an analysis of genomic data using tools and methods from the course

Assessment methods

Evaluation is based on a written report of a genomic data analysis project.

Dans les plans d'études

Semaine de référence

 LuMaMeJeVe
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
En construction
 
      Cours
      Exercice, TP
      Projet, autre

légende

  • Semestre d'automne
  • Session d'hiver
  • Semestre de printemps
  • Session d'été
  • Cours en français
  • Cours en anglais
  • Cours en allemand