Graduate School of Life Sciences Training

Bioinformatics: Molecular Phylogenetics new 

Provided by: GSLS

Mon 16 Dec - Wed 18 Dec 2013  –  Department of Genetics, Room G12


Bookings cannot be made on this event (Event is completed)
The following alternative date is available:
    Wed 10 Dec 2014
Register your interest - if you cannot make any of the currently scheduled dates and would be interested in additional dates being scheduled.

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.

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

Duration: 3

Sessions:

Number of sessions: 3

Date Time Venue Trainer
Mon 16 Dec 09:00 - 17:30 Department of Genetics, Room G12 Laura Emery ,  Sarah Parks
Tue 17 Dec 09:00 - 17:30 Department of Genetics, Room G12 Nick Goldman ,  Asif Tamuri ,  Kevin Gori
Wed 18 Dec 09:00 - 17:30 Department of Genetics, Room G12 Nick Goldman ,  Asif Tamuri ,  Laura Emery

Format: Presentations, demonstrations and practicals

Frequency: A number of times per year

Prerequisites:

  • Basic computing skills
  • Graduate level in Life Sciences

Aims: 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)

Objectives: 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

Related courses:

Theme: SBS Practical Bioinformatics Training: Specialized Topics