The aim of this course is to present both the theoretical background as well as a hands-on approach to phylogenetic reconstruction. The course will treat current software and platforms, and will focus on how phylogenetic analysis may help in testing hypotheses in the student’s own project.
There will be a daily mixture of lectures in the morning and practical sessions in the afternoon. Topics that will be addressed include i) data & quality, ii) tree building, using parsimony (including clade support, consensus analysis, and tree search using TNT), iii) tree building, using maximum likelihood and Bayesian approaches (including model selection, prior setting and Markov Chain analysis), iv) orthologue detection v) estimating species trees from gene trees, and vi) statistical approaches to inferring trends on phylogenetic trees, including molecular dating. Each course day will be concluded with brief PhD project-presentations by the students, and on Thursday there will be a course diner. Students, whom we expect to have some basic understanding of both molecular biology and systematic theory, will have the opportunity to bring their own DNA sequence alignments for analysis, otherwise datasets will be provided in the course.
€ 300,00 for PhD students with approved iTSP’s and registered VLAG/EPS postdocs.
€ 500,00 for other PhD students (and postdocs)
€ 600,00 for University staff/non-profit.
€1500,00 for Industry.
Number of participants: max 12
Registration: Registrations should be accompanied by a short CV (indicating the nature and stage of your research project) can be sent to Dr. Freek Bakker: firstname.lastname@example.org till September 20th. In principle, priority will be given to PhD’s of the Graduate Schools EPS and Biodiversity that are in the possession of an approved Training & Supervision Plan. The number of course participants is set to 12, and in case of exceeding numbers of registrations, the course organizers will make a selection and inform you by October 1st whether you can attend and how to pay the course fees. Please do not pay the fees until you know you will attend the course! A few weeks prior to the start of the course you will receive some literature, some of which we will consider familiar to you before the course starts.