WiNGS is federated and web-based platform tackling the complexity of analyzing genome sequencing data. By storing sensitive information, inlcuding extensive phenotypic data and variant information, in client-hosted hubs, WiNGS optimizes ICT requirements of Whole Genome Sequencing (WGS) interpretation. Finally, it allows anonymized analyses of pan-client data, while fully preserving the privacy of patient information.
This project focuses on the software and ICT infrastructure needed to support the increased clinical use of Whole human Genome Sequencing (WGS).
WiNGS provides the analysis strategies for different use cases. For example : rare disease diagnosis, cohort analysis, trio analysis, carrier screening.
Clinical implementation of WGS for the purpose of rare disease screening. WiNGS supports anonymized access to genomic and phenotypic data from similar patients over multiple genomic centres.
All data handling is traceable, to meet the requirements of the client and customer. WiNGS also offers QC modules to visualize data quality.
Federated Data Analytics are the core of WiNGS, making it possible to leverage anonymized data in rare variant analysis, while complying to current privacy standards.
All sensitive data, being phenotypes or genotypes, is stored at the clients infrastucture. All communication is encrypted and access to data is restricted using a stringent access controle module.
Besides WGS data analytics, WiNGS also offers a bio-sample catalogue. Based on the same privacy modules, this catalogue allows researchers to expose which biological samples, and clinical or molecular characteristics, are available for collaboration.