• ECTS

    5 credits

  • Component

    Faculty of Science

Description

Bioinformatics is concerned with the creation and use of numerical and mathematical approaches applied to life sciences. The main applications concern the automatic processing of biological data and questions of modelling, analysis and integration of data in the field of life biology.This course aims to provide a solid foundation in sequence analysis using bioinformatics tools as well as in immunoinformatics. Theoretical aspects will be covered and these will be reinforced by practical aspects (exercises and project work). This course may or may not be conducted in English depending on the level of the students. The course includes lectures and practical work carried out by teacher-researchers.

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Objectives

The objective is to cover the high-level research and development needs of companies and research organizations in the field of bioinformatics and immunoinformatics.

Skills developed in the areas of:

- Molecular Biology Databases

- Sequence analysis tools (alignments, pattern detection, phylogenetic tree reconstruction, ... )

- Ensemble genome browser, 1000 genome project

- Introduction to immunogenetics, immunoinformatics and IMGT® (international ImMunoGeneTics information system)

- Immunoglobulin and T-cell receptor biocuration and comparative genomics

- Analysis of the immuno repertoires

- IMGT/mAb-DB, database of therapeutic monoclonal antibodies and various projects related to it

At the end of this course, students will be able to perform sequence analysis with the help of databases and bioinformatics tools. They will be able to read publications in the field and reproduce the work done in them. About immunogenetics, they will be able to use IMGT databases and tools. They will have understood some of the scientific challenges in the field and how these can be addressed with the help of immunoinformatics.

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Necessary pre-requisites

basic molecular biology and genetics, be comfortable with the use of computers.

Recommended prerequisites: proficiency in a programming language is a plus.

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Knowledge control

Knowledge is tested by means of continuous assessment (CCI) in the form of projects that include oral presentations and reports.

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