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Number of hours
Lectures : 36.0
Tutorials : -
Laboratory works : -
Projects : -
Internship : -
Written tests : -
ECTS : 6.0
Officials :Clovis GALIEZ
This interdisciplinary course is designed for students with a computational or mathematical background, providing them with the skills necessary to move into bioinformatics and computational biology. The objective is to provide an introduction to the modeling of biological phenomena, and to present advanced software and mathematical tools for the analysis of sequencing data.
Through a realistic bacterial outbreak scenario, the first part of the lecture will deal with omics biology from sequence to protein structure. Through a challenging project, you will need to leverage fundamental computational biology concepts and knowledge (standard tools like blast and standard biological databases) in order to implement your own algorithmic and statistical solution.
The second part of the course focuses on evolutionary biology and population biology. The central concepts of the field are presented in a computational form, with emphasis on methods for modeling and simulating the phenomena studied. Through data analyses projects and critical reading of research articles, the focus is put on modern research questions (microbiome, drug discovery, etc) involving large datasets and tools from artificial intelligence.
Basic statistics (Poisson distribution), algorithmics (complexity), programming (python required, and R or matlab).
Session one: Evaluation on project report and source code. Session two: oral examination.
N1 = 0.5*E1a + 0.5*E1b N2 = E2
The exam is given in english only
The course exists in the following branches:
Curriculum - Master in Applied Mathematics - Semester 9 (this course is given in english only )