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Mon 16 Dec - Wed 18 Dec 2013
09:00 - 17:30

Venue: Department of Genetics, Room G12

Provided by: Graduate School of Life Sciences


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Bioinformatics: Molecular Phylogenetics

Mon 16 Dec - Wed 18 Dec 2013


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.

Further information for this session 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. Syllabus, Tools and Resources

  • Basic computing skills
  • Graduate level in Life Sciences

Number of sessions: 3

# Date Time Venue Trainers
1 Mon 16 Dec 2013 09:00 - 17:30 Department of Genetics, Room G12 map Laura Emery,  Sarah Parks
2 Tue 17 Dec 2013 09:00 - 17:30 Department of Genetics, Room G12 map Nick Goldman,  Asif Tamuri,  Kevin Gori
3 Wed 18 Dec 2013 09:00 - 17:30 Department of Genetics, Room G12 map Nick Goldman,  Asif Tamuri,  Laura Emery

After this course you should be able to…

  • Appreciate some advantages and limitations of alternative molecular analyses
  • Use some freely available software to conduct molecular analyses
  • Interpret analyses in their biological context
  • Appreciate the importance of statistical rigour in molecular analyses

During this course you will learn about…

  • Features of phylogenies and clade support
  • Data interpretation:
  • Methods of phylogenetic reconstruction: distance-based, maximum likelhodd, Bayesian (PHLIP, PhyML)
  • Hypothesis testing and tree support: model comparison, non-parametric bootstrap, MCMC (ModelTest, PAML, MrBayes)

Presentations, demonstrations and practicals




A number of times per year

Related courses
SBS Practical Bioinformatics Training: Specialized Topics

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