Study programme 2019-2020 | Français | ||
Biologie intégrée - Aspects théoriques et pratiques | |||
Programme component of Master's in Biomedicine : Research Focus à la Faculty of Medicine and Pharmacy |
Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3 |
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Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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UM-M1-BIOMFA-019-M | Compulsory UE | COLET Jean-Marie | M125 - Biologie humaine et Toxicologie |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
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| Français | 25 | 25 | 0 | 0 | 0 | 4 | 4.00 | Année |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
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S-BIOG-078 | Integrated Biology (Genomics, Proteomics, Metabonomics) | 15 | 0 | 0 | 0 | 0 | Q1 | |
M-DOYM-041 | Bioinformatics | 10 | 10 | 0 | 0 | 0 | Q1 | |
M-BIMO-004 | Analyses intégratives de données variées | 0 | 15 | 0 | 0 | 0 | Q2 |
Programme component |
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Objectives of Programme's Learning Outcomes
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
Q1 UE Assessment Comments
presentaiton of scientific publication
Type of Assessment for UE in Q2
Q2 UE Assessment Comments
Not applicable
Type of Assessment for UE in Q3
Q3 UE Assessment Comments
presentaiton of scientific publication
Type of Resit Assessment for UE in Q1 (BAB1)
Q1 UE Resit Assessment Comments (BAB1)
Not applicable
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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S-BIOG-078 |
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M-DOYM-041 |
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M-BIMO-004 |
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Mode of delivery
AA | Mode of delivery |
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S-BIOG-078 |
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M-DOYM-041 |
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M-BIMO-004 |
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Required Reading
AA | |
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S-BIOG-078 | |
M-DOYM-041 | |
M-BIMO-004 |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
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S-BIOG-078 | Not applicable |
M-DOYM-041 | Presentations and exercises available on the Moodle platform (! frequent updates !) |
M-BIMO-004 | Not applicable |
Recommended Reading
AA | |
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S-BIOG-078 | |
M-DOYM-041 | |
M-BIMO-004 |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
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S-BIOG-078 | Sans objet |
M-DOYM-041 | Not applicable |
M-BIMO-004 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
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S-BIOG-078 | Not applicable |
M-DOYM-041 | Not applicable |
M-BIMO-004 | Not applicable |