Bioinformatics: Molecular Phylogenetics
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.
This course is aimed at bench-based biologists with limited or no knowledge of the field of molecular evolution and with some experience of examining DNA/protein sequence data.
- Basic computing skills
- Graduate level in Life Sciences
Number of sessions: 3
# | Date | Time | Venue | Trainers | |
---|---|---|---|---|---|
1 | Wed 10 Dec 2014 09:00 - 17:30 | 09:00 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Dr R.F. Schwarz, Laura Emery |
2 | Thu 11 Dec 2014 09:00 - 17:30 | 09:00 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Asif Tamuri, Kevin Gori |
3 | Fri 12 Dec 2014 09:00 - 17:30 | 09:00 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Dr R.F. Schwarz, Asif Tamuri |
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: parsimony, 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
Presentations, demonstrations and practicals
3
A number of times per year
Booking / availability