At the end of this learning unit, the student is able to : | |
| 1 | a. Contribution de l¿activité au référentiel AA (AA du programme) Cohérence des AA cours en regard de ceux du programme 1.1, 1.2, 1.3 3.1, 3.2, 3.4, 3.5, 3.6 b. Formulation spécifique pour cette activité des AA du programme (maximum 10) At the end of this course, students will be able to perform a comprehensive and exhaustive sequence analysis, using appropriate computational programs tools and internet resources. This ability requires: - The understanding of the algorithmic bases of the computational programs - The description of the various molecular databases with emphasis on the positive and negative aspects of data structure and search tools - The discussion of the prediction results and eventually the proposition of a more appropriate analysis method -A strategy for protein function forecasting |
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
2. Sequence and 3-D structure databases, protein motif and family databases
3. Database search tools
4. Sequence comparison : dot plot, global and local alignment based on a dynamic programming method and score matrices
5. Database searching for similar sequences (matching word-based method), score statistics
6. Multiple sequence alignment, motif discovery,(patterns, profiles, Hidden Markov models)
7. Analysis of protein hydropathy and prediction of RNA secondary structure
8. Phylogenetic inference using phenetic and cladistic methods
- the understanding of the algorithmic bases of the sequence analysis programs
- the use of the most appropriate program and database
- the explanation of the statistical bases of prediction scores
Biological background, concise nature and clarity of the search are also required.
Le cours ne fait appel à aucun support particulier qui serait payant et jugé obligatoire. L'ouvrage Bioinformatics de Mount (CSHL press) est conseillé pour un apprentissage plus approfondi
