COURSE DESCRIPTION
In this course we will combine theoretical and hands-on sessions to provide an understanding of statistical and algorithmic bases of phylogenetic methods and show how they can be applied to biological data (e.g. for epidemiology), using popular software tools. The course will also include two advisory sessions allowing students to discuss their project with the teaching team and receive advice and guidance on the phylogenetic analyses of their data.
TYPE OF TRAINING
⏭ Course
TRAINING DATES
21-25 March 2022
TARGET AUDIENCE
Postgraduate students, postdocs, engineers and researchers interested in evolutionary/epidemiological/ecological questions and having the basic knowledge of statistics.
ORGANIZERS
Institut Pasteur Paris team
SPEAKERS & AFFILIATIONS
- Julien Guglielmini (Institut Pasteur, Paris)
- Frédéric Lemoine (Institut Pasteur, Paris)
- Najwa Taib (Institut Pasteur, Paris)
- Maylis Layan (Institut Pasteur, Paris)
- Andrew Holtz (Institut Pasteur, Paris)
- Marie Morel (Institut Pasteur, Paris)
- Anna Zhukova (Institut Pasteur, Paris)
COURSE/TRAINING PREREQUISITES
Basic knowledge of statistics; basic knowledge of command line (understanding how to run a program, how to change between directories).