• ECTS

    5 credits

  • Training structure

    Faculty of Science

Description

Bioinformatics focuses on the creation and use of digital and mathematical approaches applied to life sciences. The main applications concern the automatic processing of biological data and issues of modeling, analysis, and data integration in the field of life sciences. This course unit aims to provide a solid foundation in sequence analysis using bioinformatics tools and in immunoinformatics. Theoretical aspects will be covered and reinforced by practical aspects (exercises and project work). This course unit may or may not be taught in English, depending on the level of the students. The course unit includes lectures and practical work, carried out by teacher-researchers.

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Objectives

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

Skills developed in the following areas:

· Molecular biology databases

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

· Genome browser, 1000 Genome Project

· Introduction to immunogenetics, immunoinformatics, and IMGT® (International ImMunoGeneTics Information System)

· Biocuration of immunoglobulins and T cell receptors and comparative genomics

· Analysis of immune repertoires

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

At the end of this course unit, students will be able to analyze sequences using databases and bioinformatics tools. They will be able to read publications in the field and reproduce the work carried out in them. With regard to immunogenetics, they will be able to use IMGT databases and tools. They will have understood certain scientific challenges in the field and how these can be addressed with the help of immunoinformatics.

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Teaching hours

  • Bioinformatics and Antibody Bioinformatics - Practical WorkPractical Work3 p.m.
  • Bioinformatics and Antibody Bioinformatics - LectureLecture25 hours

Mandatory prerequisites

basic knowledge of molecular biology and genetics, be comfortable using computers.

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

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Knowledge assessment

Knowledge assessment is carried out through continuous assessment (CCI) in the form of projects that include both oral presentations and reports.

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