Genomics and bioinformatics

BIO-463 / 4 credits

Teacher: Rougemont Jacques

Language: English

Summary

This course covers various data analysis approaches associated with applications of DNA sequencing technologies, from genome sequencing to quantifying gene expression, transcription factor binding and chromosome conformation.

Content

Learning Prerequisites

Recommended courses

Molecular biology, genetics, linear algebra, ordinary differential equations, basic statistics, computer programming

Important concepts to start the course

DNA and RNA, replication, transcription and translation.

Learning Outcomes

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

  • Choose a method or algorithm to analyse different kinds of genomic data
  • Design an analysis strategy to interpret complex, heterogenous genomic data
  • Assess / Evaluate a publication based on genomic data

Transversal skills

  • Access and evaluate appropriate sources of information.
  • Summarize an article or a technical report.
  • Communicate effectively with professionals from other disciplines.
  • Use both general and domain specific IT resources and tools

Teaching methods

2 hours lecture (theoretical concepts) followed by 2 hours practical exercises (review the theory and practice with bioinformatics tools and data)

Lecture notes, slides and exercises provided on Moodle.

 

Expected student activities

Following the lectures, completing exercises, doing a project

Assessment methods

The evaluation is based on a written test at week 7 and a personal project between week 7 and week 14. Each counts for 50% of the grade.

Resources

Bibliography

 

Ressources en bibliothèque

Moodle Link

In the programs

  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Genomics and bioinformatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Genomics and bioinformatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: During the semester (summer session)
  • Subject examined: Genomics and bioinformatics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 2 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
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