The Statistically Useful Experimental Design module is a 2 - 3 hour workshop about designing ‘omics experiments. We consider:
- what influences platform choice and what influences design when platform choice is fixed
- replication and controls
- sequence coverage and depth
- Type I and Type II errors and multiple testing correction
This course does not require any software or coding. Some principles of design will be presented followed by discussion of their application using three case studies. There will also be an opportunity for participants to discuss their own designs. This module assumes no experience with designing omics’ experiments but some previous experience experimental design and statistical analysis - such as would be covered in an undergraduate bioscience degreee - would be useful.
The module is designed for a 2 - 3 hour workshop.
The Statistically useful experimental design module comprises 3 GitHub repositories:
- The Overview repository for webpages at https://cloud-span.github.io/experimental_design00-overview/
- Principles of experimental design for webpages at https://cloud-span.github.io/experimental_design01-principles/
- Case Studies in Experimental Design for webpages at https://cloud-span.github.io/experimental_design02-case-study/
The site infrastructure is based on The Carpentries
Cloud-SPAN is a collaboration between the Department of Biology, University of York and The Software Sustainability Institute funded by the UKRI innovation scholars award (Project Reference: MR/V038680/1) which trains researchers, and the research software engineers that support them, to run specialised analyses on cloud-based high-performance computing infrastructure