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The SYSCILIA gold standard (SCGSv1) of known ciliary components and its applications within a systems biology consortium

Teunis JP van Dam1*, Gabrielle Wheway2, Gisela G Slaats3, SYSCILIA Study Group, Martijn A Huynen1 and Rachel H Giles3

Author Affiliations

1 Centre for Molecular and Biomolecular Informatics, Radboud University Medical Centre, Nijmegen 6500 HB, The Netherlands

2 Section of Ophthalmology and Neuroscience, Leeds Institute of Molecular Medicine, Wellcome Trust Brenner Building, St James’s University Hospital, Leeds LS9 7TF, UK

3 Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht 3508 GA, The Netherlands

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Cilia 2013, 2:7  doi:10.1186/2046-2530-2-7

Published: 31 May 2013


The multinational SYSCILIA consortium aims to gain a mechanistic understanding of the cilium. We utilize multiple parallel high-throughput (HTP) initiatives to develop predictive models of relationships between complex genotypes and variable phenotypes of ciliopathies. The models generated are only as good as the wet laboratory data fed into them. It is therefore essential to orchestrate a well-annotated and high-confidence dataset to be able to assess the quality of any HTP dataset. Here, we present the inaugural SYSCILIA gold standard of known ciliary components as a public resource.