Our group actively engages with the scientific and wider community through personal and electronic communication. We adhere to goals of open access and ensure the availability of raw data, analysis pipelines, manuscript, and reviews. In parallel, we are currently developing tutorials in several common challenges in studying genetics and bioinformatics.

Public engagement

Members of the group actively participate in a range of public forums, interacting with the general public, children at primary and secondary schools, students in higher education, policy makers, and the media.


Norwich Science Festival
UEA-BIO Summer School, Infectious Disease workshop
Pint of Science (organization, Norwich)
BBC News
BBC Radio Norfolk
BBC Radio 4
BBC World News
Eastern Daily Press


Norwich Science Festival
SET for BRITAIN exhibition at UK parliament
Breeders Day at the John Innes Centre
UEA Outreach Introduction to University (DNA extractions with Year 6 children)
Youth STEM Award Event (Encourage interest in scientific careers to 15-16 year old female students from Norwich)


Science in Norwich day
Norwich Science Festival
Inside Science Workshops at the John Innes Centre (School/college students around Norwich)
Eastern Daily Press
Mustard TV


Young Innovators’ Forum
Norwich Science Festival


It can be a challenge to navigate large repositories when accessing sequencing data. We have collected links for all the sequencing data that has been generated in our group. link


We access a range of genetic resources that are publically available from the community. In addition, we contribute by developing populations that will be useful to ourselves and others. For a list of resources we have in house, follow this link.


We are in the process of collecting and posting to Figshare our presented posters over the last seven years. link


We use Github for version control of our Python and R scripts. This means that you can see development as it happens and access all our in house scripts. link


We are currently developing tutorials on common challenges we face when analyzing complex biological data. link

Last updated: 2017 January 6