Endocrine Genomics Virtual Laboratory (endoVL) was funded ($1.03m) in 2013 by the National eResearch Collaboration Tools and Resources (NeCTAR) project. The project established a range of targeted disease registries associated with rare diseases (Disorders of Sex Development, Niemann-Pick types A, B and C, Adrenal Tumours, Alstrom, Wolfram, Bardet Biedl and Atypical Femur Fractures); more common disorders such as type-1 diabetes; a range of clinical trials and integrated genomic data processing pipelines on the Cloud. The endoVL project has provided the basis for a range of new grants and activities such as MGHA, AGHA and ENDIA. It has also provided demonstrations for how large-scale genomic data processing on the Cloud can be achieved, whilst recognising the sensitivities in information governance associated with genomic data. Example publications from endoVL on the project as a whole are given here, whilst the Cloud security solutions are outlined here.

Diagnosing Parkinson’s Disease by neuromuscular function evaluation (DiPAR): this €1.7M EU funded project began in 2011 and developed a pen/tablet based system that could be used by researchers to detect the early onset of Parkinsons disease through algorithms trained to detect indicative neuromuscular tremors. The project worked with a range of health care providers in undertaking this activity, including research nurses, specialised clinics and a range of neurological centres.