Objectives of Programme's Learning Outcomes

• Conduct extensive research and development projects related to biological sciences, in biochemistry and in molecular and cell biology.
• Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
• Contributing to a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
• Show initiative and be able to work independently and in teams.
• Manage and lead research, development and innovation projects.
• Understand unprecedented problems in biological sciences, and more specifically in biochemistry and molecular and cell biology and its applications.
• Methodically research valid scientific information, critically analyse, propose and argue potentially innovative solutions to targeted problems.
• Master communication techniques.
• Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
• Develop and integrate a high degree of autonomy.
• Aquire new knowledge independently.
• Pursue further training and develop new skills independently.
• Develop and integrate a high degree of autonomy to evolve in new contexts.
• Apply scientific methodology.
• Critically reflect on the impact of their discipline in general, and on the contribution to projects.

Learning Outcomes of UE

The course aims to introduce students to bioinformatics so that they can understand the basic concepts of the field as well as the different methods discussed in scientific publications. In parallel, the practical sessions will allow students to concretely consider bioinformatics analyses related to sequence searches and annotations, differential expression from transcriptomic data or visualization of genomic data on a GenomeBrowser.

UE Content: description and pedagogical relevance

Theoretical courses (50%)
- General introduction: Mathematical reality VS biological reality
- Biological sequences, Databases...
- Sequence alignments
- How to "query" public databases
- Next generation sequencing methods (NGS)
- Transcriptome & Genome
- Practical applications & Biologist's questions

Practical sessions & exercises (50%, practical sessions in computer room)
- Sequence search, sequence homology, functional annotations (Online tools: NCBI, Expasy, Galaxy platform...)
- Differential expression analysis from RNA-Seq data & Visualization of expression data (Online tools: Galaxy platform, Degust, MetaboAnalyst...)
- Visualization of genomic data using a Genome Browser (IGV, online servers...)
 

Prior Experience

Concepts of biochemistry; handling of a personal computer and Internet.