- Scalable solution for big data analysis in Healthcare
The AEGLE platform offers a scalable solution for analysing big healthcare data, which includes the ability for users to pseudo-anonymize data conforming to EU regulations and the security measures, ensuring data analysis and storage on a secure cloud platform accessible only to users with the necessary access requirements. The platform can be offered with two user interfaces (UI). A research-oriented UI (R&D-UI) and a clinical decision support UI (CDS-UI). Both can be customized to the user’s needs. The platform has been developed for three scenarios, namely analysing next generation sequencing (NGS) and immunogenetics data, analysing monitoring data for Intensive Care Units (ICU) and analysing electronic health records (EHR) data for non-malignant chronic diseases such as diabetes.
The platform for analysing next generation sequencing (NGS) and immunogenetics data has been developed for researchers with an affiliation with chronic lymphocytic leukaemia. However, the platform can also be used by researchers in academic institutes, commercial labs and industry who aim to study NGS and immunogenetics data from other disease areas.
For whole exome/genome and RNA-sequencing data, the platform offers acceleration services when aligning reads prior to variant calling, annotation and interpretation and transcript assembly and expression analysis. Moreover, with the AEGLE platform, immunogenetics data can be filtered and analysed, enabling categorization of stereotyped subsets, mutation analysis and computation of public and exclusive clonotypes in samples. The visualization tools offer an integrated presentation of results from multiple data types for faster interpretation. The analyses of immunogenetics data is a feature where AEGLE can distinguish itself from competitors such as DNANexus and SevenBridges.
Watch below the video recording of the AEGLE Demonstration Webinar for (Clinical) Researchers on the Chronic Lymphocytic Leukaemia use case: