skip to navigation skip to content
Tue 2 Sep 2014
12:30 - 17:00

Venue: Bioinformatics Training Room, Craik-Marshall Building, Downing Site

Provided by: Graduate School of Life Sciences


Bookings cannot be made on this event (Event is completed).

Other dates:

No more events

Register interest
Register your interest - if you would be interested in additional dates being scheduled.

Booking / availability

Bioinformatics: Introductory Statistics and Experimental Design for Genomics

Tue 2 Sep 2014


”To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.” - R.A. Fisher

Modern genomics technologies are able to deliver an unprecedented amount of data rapidly. However, without due care and attention early in the experimental process, such data are meaningless if they cannot adequately answer the intended research question. This course is aimed at those planning high-throughput genomics experiments and highlights the kinds of questions they should be asking themselves. We we also review key statistical concepts that underpin the design process and are referred to throughout further Bioinformatics training courses.


  • 12:30 - 13:30 - Introductory Statistics (Lecture) - Mark Dunning
  • 13:30 - 14:15 - Exploratory data analysis (Discussion) - Mark Dunning
  • 14:30 - 15:30 - Experimental Design (Lecture) - Roslin Russell
  • 15:30 - 17:00 - Experimental Design (Discussion) Roslin Russell, Mark Dunning

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
  • Our courses are open to all who might benefit
  • Booking priority is given to people from Cambridge University and Collaborating Institutes

Number of sessions: 1

# Date Time Venue Trainers
1 Tue 2 Sep 2014   12:30 - 17:00 12:30 - 17:00 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Roslin Russell,  Mark Dunning
  • Review basic concepts in statistics and hypothesis testing
  • Highlight the key experimental design issues that researchers should address whilst planning their experiment
  • To enable researchers to interpret statistics and graphs that are commonly-used in Genomics publications

Presentations and practicals




A number of times per year

Related courses

Booking / availability