Study programme 2022-2023 | Français | ||
Bioinformatics | |||
Programme component of Master's in Biology of Organisms and Ecology (MONS) (day schedule) à la Faculty of Science |
Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
US-M1-BIOECO-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 |
---|
Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
At the end of this course, students will be able to understand the mechanisms of simple resolutions of computer science problems (algorithms). They will be able to develop simple algorithms on data from molecular biology (genetic sequences). Students will be able to explain the methods of sequence alignment and the issue of sequencing of genomes. They can assess the complexity of simple algorithms and explain why some problems have an inherent complexity that makes them insoluble in practice (NP-completeness). The students will be able to write small scripting programs to automate bioinformatics tasks.
UE Content: description and pedagogical relevance
Algorithmic; genetic sequence databanks; pseudo-language; variable; complexity of algorithms; efficiency; dot-plot, sequence alignment, substitution matrices, NP-completeness, assembly of DNA fragments
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 |
|
Required Reading
AA | Required Reading |
---|---|
S-BIOG-143 | Copie de présentation - BioInformatique (Introduction à l'Algorithmique) - Olivier Delgrange |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
---|---|
S-BIOG-143 | Not applicable |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
---|---|
S-BIOG-143 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
---|---|
S-BIOG-143 | Neil C. Jones and Pavel A. Pevzner, An Introduction to BioInformatics Algorithms, MIT Press, 2004 |
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 - comments
AA | Term 1 Assessment - comments |
---|---|
S-BIOG-143 | Oral exam to assess the mastership of the learned concepts (100%) |
Term 3 Assessment - comments
AA | Term 3 Assessment - comments |
---|---|
S-BIOG-143 | Oral exam to assess the mastership of the learned concepts (100%) |