Objectives of Programme's Learning Outcomes

• Scientific skills
• Implement and independently carry out an experimental approach, validate a model by comparing its predications with experimental results, assess the limitations of the model's validity, and identify sources or error.
• In response to situations and aware of the methodological limitations: - Use common techniques of biochemistry, molecular biology, cell biology, studies of tissues and organs (i.e. link a macroscopic phenomenon to microscopic processes). - Use an experimental device in a biological model, know and use the concepts and techniques of animal physiology.
• Use acquisition and data analysis software specific to biomedical sciences
• Be familiar with biomedical science research tools, including bioinformatics tools.
• Use the main measuring instruments and identify sources of error.
• Appropriately select measuring instruments, analyse and process the signal obtained
• Use basic mathematical tools
• Master the statistical tools for life sciences
• Be a responsible researcher: - Know how to base their reasoning on data obtained from scientific literature. - Know how to integrate an ethical dimension in their reasoning. - Be loyal (to the facts, to the team, and to intellectual property). - Do not tamper with results. - Do not exploit the work of others. - Demonstrate experimental rigor.
• Scientific skills
• Implement and independently carry out an experimental approach, validate a model by comparing its predications with experimental results, assess the limitations of the model's validity, and identify sources or error.
• In response to situations and aware of the methodological limitations: - Use common techniques of biochemistry, molecular biology, cell biology, studies of tissues and organs (i.e. link a macroscopic phenomenon to microscopic processes). - Use an experimental device in a biological model, know and use the concepts and techniques of animal physiology.
• Use acquisition and data analysis software specific to biomedical sciences
• Be familiar with biomedical science research tools, including bioinformatics tools.
• Use the main measuring instruments and identify sources of error.
• Appropriately select measuring instruments, analyse and process the signal obtained
• Use basic mathematical tools
• Master the statistical tools for life sciences
• Be a responsible researcher: - Know how to base their reasoning on data obtained from scientific literature. - Know how to integrate an ethical dimension in their reasoning. - Be loyal (to the facts, to the team, and to intellectual property). - Do not tamper with results. - Do not exploit the work of others. - Demonstrate experimental rigor.

Learning Outcomes of UE

From a selected publication, the goal is to explain to the students the integration of data collected with various methods used in genomic, transcriptomic, proteomic, and metabonomic.  At the end of this course, the students will be able to  :

- understand the importance of integrating data from various 'omics' sciences to evaluate a complex biological mechanism
- integrate and interprete "omics" data
- describe concepts and methods used in the acquisition of "omics" data

Content of UE

1. Metabonomics section (Prof. Jean-Marie Colet):

- succesive steps in metabonomics analyses
- analysis of biofluids by proton Nuclear Magnetic Resonance
- Multivariate analysis of spectral data

2. Proteomics section : (Prof. Rudy Wattiez)

-  mass spectrometry
- different steps of a proteomics study 


3. Genomics/transcriptomics section : (Dr Frédérique Coppée)
 
- High-throughput sequencing : Next generation Sequencing, NGS et RNA-seq, the ENCODE project and human genome/epigenome
- steps in a transcriptomic study
- examples of format/web interfaces for classical sequence analyses including representation with heatmap, networks and signaling pathways (study of gene regulation, biological signatures)
 

Prior Experience

fundamentals in molecular & cellular biology
basics in spectrsocopic methods
basics in statistics
 

Type of Assessment for UE in Q1

• Presentation and/or works
• Oral examination
• Practical test
• Graded tests

Q1 UE Assessment Comments

presentaiton of scientific publication

Type of Assessment for UE in Q2

• Presentation and/or works
• Oral Examination
• Practical test
• Graded tests

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

• Presentation and/or works
• Oral examination
• Practical Test
• Graded tests

Q3 UE Assessment Comments

presentaiton of scientific publication

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable