Computational Molecular Evolution

18 July, 2022 - 29 July, 2022

Wellcome Genome Campus, UK

Web Address

https://coursesandconferences.wellcomeconnectingscience.org/event/computational-molecular-evolution-20220718/

Registration

Deadline: 10/02/2022
Click here to register

General Information

Run biennially at the Wellcome Genome Campus, 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.

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.

Meeting organisers:

Wellcome Connecting Science Courses

Organisers/Lead Instructors:

Aglaia (Cilia) Antoniou (Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Centre for Marine Research (HCMR), Greece)

Adam Leaché (University of Washington, USA)

Alexandros Stamatakis (Heidelberg Institute for Theoretical Studies, Germany)

Ziheng Yang (University College London, UK)

Speakers:

Instructors and Assistants;

Rebecca Bengtsson  (University of Liverpool, UK)

Ben Bettisworth (Heidelberg Institute for Theoretical Studies, Germany)

Bastien Boussau (LBBE-UMR-CNRS, France)

Sandra Alvarez Carretero (University College London, UK)

Emy Karameta (University of Athens, Greece)

Brian Moore (University of California Davis, USA)

Anna Papadopoulou (Department of Biological Sciences, University of Cyprus, Cyprus)

Julija Pecerska (Zurich University of Applied Sciences ZHAW, Switzerland)

Bruce Rannala (University of California Davis, USA)

Ben Redelings (Duke University & University of Kansas, USA)

Asif Tamuri (University College London, UK)

Jeff Thorne (Genetics and Statistics Departments, North Carolina State University, USA)