 | Study programme 2024-2025 | Français | |
 | Bioinformatics | ||
Programme component of Master's in Biology (MONS) (day schedule) à la Faculty of Science |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-M1-BIOL60-003-M | Compulsory UE | DELROISSE Jérôme | S864 - Biologie des Organismes Marins et Biomimétisme |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français | 15 | 0 | 0 | 0 | 0 | 2 | 2.00 | 1st term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| S-BIOG-143 | Bioinformatics | 15 | 0 | 0 | 0 | 0 | Q1 | 100.00% |
| Programme component |
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Objectives of Programme's Learning Outcomes
- Skill 4: Master communication techniques.
- Communicate, in English both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
- Skill 5: Develop and integrate a high degree of autonomy.
- Pursue further training and develop new skills independently.
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%)
- 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.
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| S-BIOG-143 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| S-BIOG-143 |
|
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| S-BIOG-143 | Course materials available on Moodle. |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| S-BIOG-143 | Not applicable |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| S-BIOG-143 | Not applicable |
Grade Deferrals of AAs from one year to the next
| AA | Grade Deferrals of AAs from one year to the next |
|---|---|
| S-BIOG-143 | Authorized |
Term 1 Assessment - type
| AA | Type(s) and mode(s) of Q1 assessment |
|---|---|
| S-BIOG-143 |
|
Term 1 Assessment - comments
| AA | Term 1 Assessment - comments |
|---|---|
| S-BIOG-143 | Oral exam to assess the mastership of the learned concepts (80%). Active participation to practical sessions (20%). |
Resit Assessment - Term 1 (B1BA1) - type
| AA | Type(s) and mode(s) of Q1 resit assessment (BAB1) |
|---|---|
| S-BIOG-143 |
|
Term 3 Assessment - type
| AA | Type(s) and mode(s) of Q3 assessment |
|---|---|
| S-BIOG-143 |
|
Term 3 Assessment - comments
| AA | Term 3 Assessment - comments |
|---|---|
| S-BIOG-143 | Oral exam to assess the mastership of the learned concepts (80%). Active participation to practical sessions (20%). |