EMBL-EBI
Computational molecular evolution
Date: 13 - 24 May 2019
Run biennially at the Genome Campus (and jointly with EMBL-EBI) this hands-on computational course aims to provide early-career stage researchers with the theoretical knowledge and practical skills to carry out molecular evolutionary analyses on sequence data. Instructors teaching molecular evolution may also benefit from this course by refreshing their knowledge of cutting-edge analytical methods in the field.
In addition, the course will offer a unique opportunity for direct interaction with some of the world-leading scientists and authors of famous analysis tools in Evolutionary Bioinformatics.
The demand for such training is large and growing, as are the sequence databases and researchers’ awareness of the important insights that can be gained from phylogenetic and molecular evolutionary techniques.
All details for this event can be found on the Connecting Science Courses and Conferences website.
Venue: European Bioinformatics Institute Hinxton
Region: Cambridge
Country: United Kingdom
Postcode: CB10 1SD
Target audience: Experience from previous years has led to preference being given to candidates who: are doctoral candidates in the early to middle stages of their thesis research already have some familiarity with phylogenetic methods (i.e. have already used some of the relevant tools) have already collected/assembled a molecular sequence dataset to analyze in their work have experience of working in a Unix/Linux command-line environment We will also select a small number of participants that already work in bioinformatics labs, to intensify collaboration between early career stage biologists and bioinformaticians. Applicants from labs with a strong focus on computational molecular evolution methodology need to carefully outline their motivation for attending the course in this context, since they have ready access to expert supervision and are likely to be very skilled already in the topics we teach, or are in the course of becoming very skilled therein. The course is also suitable for established researchers who would like to refresh their memory of modern statistical methods for phylogenetic analysis of genomic sequence data and to interact with developers of such methods.
Capacity: 30
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