Experimental Design

A Course on designing high-throughput experiments

View the Project on GitHub bioinformatics-core-shared-training/experimental-design

”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 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 experiments and highlights the kinds of questions they should be asking themselves. The course consists of a lecture and small-group discussions led by a member of the Genomics or Bioinformatics Cores.

Tinyurl for this page:https://tinyurl.com/cruk-expt-des

Course Materials

Further Reading and Resources

And finally…