Advanced Methods in Bioinformatics

This course will provide an introduction to computational methods applied to biological questions. After an introduction to the computational biology domain, the notion of sequence aliment, motif discovery, protein structure will be detailed. A particular emphasis will be put on notion related to protein structure prediction and methods related to Next Generation Sequencing data analysis.

This course focusses on computational biology.

The goal of this course is to provide students with the necessary skills i) to understand computational biology research, ii) to grasp the workings of some of the key algorithms that were developed to solve particular problems in molecular biology iii) to understand the role of different computational methods in solving these problems, iv) to know where certain molecular data can be found and how to combine this, v) to be able to develop a project that tries to solve some problem in this domain. In addition, this knowledge will allow you to understand the literature on bioinformatics and computational biology.

Cours co-requis

Oral presentations + Assignments.

Références, bibliographie et lectures recommandées

Provided in the slides.

Contacts

Pr. Matthieu Defrance

Département d'Informatique

Université Libre de Bruxelles

Boulevard du Triomphe CP 212

1050 Brussels

Belgium

Tel: 02/650.58.68

Email: matthieu.defrance@ulb.be

Campus

Hors campus ULB

Méthode(s) d'évaluation

• Autre

Autre

During the course sessions, students will receive assignments. These assignments will be graded and the points will be used in the calculation of the final course grade.

For the exam, students will present an article, discussing the context, methods. results and conclusions drawn by the authors.

The quality of the project and the quality of the presentation (together with the points for the assignments) will determine the final points for this course.

Construction de la note (en ce compris, la pondération des notes partielles)

50% on the assignments

50% on the oral presentation

Langue(s) d'évaluation

• anglais