Molecular Phylogenetics Prerequisites
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.
- 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 | map | Asif Tamuri, Dr R.F. Schwarz |
| 2 | Thu 21 Apr 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room | map | Asif Tamuri, Kevin Gori |
| 3 | Fri 22 Apr 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room | map | Greg Slodkowicz, Mario Dos Reis Barros |
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
3
A number of times per year
Booking / availability