Bioinformatics
Diplôme d'ingénieur de l'École supérieure de biotechnologie de Strasbourg (ESBS)Parcours Diplôme d'ingénieur en biotechnologie

Description

The course is devoted to the basic resources and tools used in the analysis of a gene or protein family. It presents the structuring of biological information as well as the essential methods and programs for sequence analysis. A large part of the course is devoted to practical work in the computer resource room.
Detailed content
- Biological databases: presentation of the main sequence databases and sequence-related databases, structuring of biological information, ontology.
- Comparison of 2 sequences: similarity and homology, score systems, dotplots, optimal alignments of 2 sequences, similarity searches (BLAST, BLAT).
- Multiple alignment: main algorithms and programs commonly used, quality of an alignment, applications of multiple alignment, patterns and profiles
- Molecular phylogeny: terminology, examples of phylogeny applications, tree construction methods, tree robustness estimation, web tools and resources.
 

Compétences visées

  • Ability to use basic bioinformatics web resources
  • Understanding of main sequence comparison algorithms
  • Ability to interpret a multiple alignment, a phylogenetic tree and results of a similarity search
  • Ability to use multidisciplinary knowledge and approaches

Bibliographie

Altschul, S.F., Madden, T.L., Schäffer, A.A., Zhang, J., Zhang, Z., Miller, W., and Lipman, D.J. (1997). Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25, 3389–3402.
Baxevanis, A.D., Bader, G.D., and Wishart, D.S. (2020). Bioinformatics (John Wiley & Sons).

Lecompte, O., Thompson, J.D., Plewniak, F., Thierry, J.-C., and Poch, O. (2001). Multiple alignment of complete sequences (MACS) in the post-genomic era. Gene 270, 17–30.

The UniProt Consortium, Bateman, A., Martin, M.-J., Orchard, S., Magrane, M., Agivetova, R., Ahmad, S., Alpi, E., Bowler-Barnett, E.H., Britto, R., et al. (2021). UniProt: the universal protein knowledgebase in 2021. Nucleic Acids Research 49, D480–D489.

Yang, Z., and Rannala, B. (2012). Molecular phylogenetics: principles and practice. Nat. Rev. Genet 13, 303–314.


 

Contacts

Responsable(s) de l'enseignement

MCC

Les épreuves indiquées respectent et appliquent le règlement de votre formation, disponible dans l'onglet Documents de la description de la formation.

Régime d'évaluation
CT (Contrôle terminal, mêlé de contrôle continu)
Coefficient
1.0

Évaluation initiale / Session principale - Épreuves

LibelléType d'évaluationNature de l'épreuveDurée (en minutes)Coéfficient de l'épreuveNote éliminatoire de l'épreuveNote reportée en session 2
Bioinformatics CC
CCET600.50
Bioinformatics
CTET600.50

Seconde chance / Session de rattrapage - Épreuves

LibelléType d'évaluationNature de l'épreuveDurée (en minutes)Coéfficient de l'épreuveNote éliminatoire de l'épreuve
Bioinformatics
CTET601.00