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Wed 20 Apr - Fri 22 Apr 2016
09:30 - 17:30

Venue: Bioinformatics Training Room, Craik-Marshall Building

Provided by: Bioinformatics


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Molecular Phylogenetics

Wed 20 Apr - Fri 22 Apr 2016


The course will provide training for bench-based biologists to use molecular data to construct and interpret phylogenies, and test their hypotheses. Delegates will gain hands-on practice of using a variety of programs freely available online and commonly used in molecular studies, interspersed with some lectures.

Course timetable is available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

Target audience
  • Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
  • Further details regarding eligibility criteria are available here
  • Further details regarding the charging policy are available here
  • Limited knowledge of the field of molecular evolution
  • Some experience of examining DNA/protein sequence data

Number of sessions: 3

# Date Time Venue Trainers
1 Wed 20 Apr 2016   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building map Asif Tamuri,  Dr R.F. Schwarz
2 Thu 21 Apr 2016   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building map Asif Tamuri,  Kevin Gori
3 Fri 22 Apr 2016   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building map Greg Slodkowicz,  Mario Dos Reis Barros
Topics covered

Bioinformatics, Data handling, Data mining, Data visualisation, Phylogenetics


After this course you should be able to…

  • Reconstruct your own trees from data, choosing an appropriate set of tools and models
  • Have an overview of the software available for phylogenetic reconstruction
  • Know about the advantages and disadvantages of different phylogenetic reconstruction methods and make an informed choice
  • Know how to interpret the results with regards to evolutionary information, robustness and potential inaccuracies

During this course you will learn about…

  • The principles of phylogenetics and how to reconstruct phylogenetic trees from molecular data
  • The different methods for phylogenetic reconstruction: distance-based, maximum likelihood, Bayesian
  • How to interpret reconstructed trees and assess their robustness
  • How to test hypotheses with respect to trees and decide which model to use for tree inference
  • Statistical methods to detect positive selection in coding sequences
  • How to use Bayesian methods for divergence time estimation

Presentations, demonstrations and practicals




A number of times per year


Booking / availability