Authors:
Francois Andry
;
Nevenka Dimitrova
;
Alexander Mankovich
;
Vartika Agrawal
;
Anas Bder
and
Ariel David
Affiliation:
Philips, United States
Keyword(s):
Genomics, Cloud, PaaS, IaaS, Security, Privacy, Asynchronous Processing, Pipelines, Workflow, Big Data, Analytics, NGS, Oncology, Infectious Diseases.
Related
Ontology
Subjects/Areas/Topics:
Algorithms and Software Tools
;
Artificial Intelligence
;
Bioinformatics
;
Biomedical Engineering
;
Data Mining and Machine Learning
;
Databases and Data Management
;
Genomics and Proteomics
;
Next Generation Sequencing
;
Pattern Recognition, Clustering and Classification
;
Sequence Analysis
;
Soft Computing
;
Structural Bioinformatics
;
Structural Variations
;
Transcriptomics
;
Visualization
;
Web Services in Bioinformatics
Abstract:
The PAPAyA platform has been designed to ingest, store and process in silico large genomics datasets using analysis algorithms based on pre-defined knowledge databases with the goal to offer personalized therapy guidance to physicians in particular for cancers and infectious diseases. This new highly scalable, secure and extensible framework is deployed on a cloud-based digital health platform that provides generic provisioning and hosting services, identity and access management, workflow orchestration, device cloud capabilities, notifications, scheduling, logging, auditing, metering as well as specific patient demographic, clinical and wellness data services that can be combined with the genomics analytics results.