This course will allow students to acquire good knowledge of fundamental and advance statistical tools in biology and microbial ecology and to learn how to implement statistical analysis with the software R. The course will be organized as follows: 

• Generalized linear models 
• Experimental designs with ANOVAs. 
• Multivariate analysis (PCA, FA, PCoA, Hierarchical clustering) 
• Multivariate regressions (PerMANOVA, CCA, RDA) 
• Introduction to the analysis of microbial diversity. 

Students will also be required to complete a project for which they will analyze a dataset from the scientific literature and give a 20 minutes oral presentation on how they managed to analyze the data using the techniques they will have seen during the semester. 

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Students will gain knowledge on environmental applications of microbial metabolism. It will be addressed by some examples of biodegradation and biotransformation of organic and metallic compounds, the application of the microbial metabolic capacities as an environmental tool, and bio-depollution and / or bioremediation tools. Students will design a project, based on a bibliographic study.

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Students will gain knowledge on environmental applications of microbial metabolism. It will be addressed during conferences showing some examples of the application of the microbial metabolic capacities as an environmental tool, and bio-depollution and / or bioremediation tools. Students will write a synthesis report based on contents addressed in conferences and supported by a bibliographic research.

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Recent molecular biology tools and their applications:
through conferences,
through a supervised bibliographic project including case studies on current issues.
Laboratory project.
Company visit.

Teaching strategies: Conferences, Directed publication research and Supervised project, Supervised project and experiments

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