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Wed 10 Dec - Fri 12 Dec 2014
09:00 - 17:30

Venue: Bioinformatics Training Room, Craik-Marshall Building

Provided by: Graduate School of Life Sciences


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Bioinformatics: Molecular Phylogenetics

Wed 10 Dec - Fri 12 Dec 2014

Description

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

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.

Prerequisites
  • Basic computing skills
  • Graduate level in Life Sciences
Sessions

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
Objectives

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
Aims

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
Format

Presentations, demonstrations and practicals

Duration

3

Frequency

A number of times per year

Related courses

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