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PAPAyA: A Highly Scalable Cloud-based Framework for Genomic Processing

Topics: Algorithms and Software Tools; Data Mining and Machine Learning; Databases and Data Management; Genomics and Proteomics; Next Generation Sequencing; Pattern Recognition, Clustering and Classification; Sequence Analysis; Structural Bioinformatics; Structural Variations; Transcriptomics; Visualization; Web Services in Bioinformatics

Authors: Francois Andry ; Nevenka Dimitrova ; Alexander Mankovich ; Vartika Agrawal ; Anas Bder and Ariel David

Affiliation: Philips, United States

ISBN: 978-989-758-170-0

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.

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Paper citation in several formats:
Andry, F.; Dimitrova, N.; Mankovich, A.; Agrawal, V.; Bder, A. and David, A. (2016). PAPAyA: A Highly Scalable Cloud-based Framework for Genomic Processing.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 198-206. DOI: 10.5220/0005668401980206

@conference{bioinformatics16,
author={Francois Andry. and Nevenka Dimitrova. and Alexander Mankovich. and Vartika Agrawal. and Anas Bder. and Ariel David.},
title={PAPAyA: A Highly Scalable Cloud-based Framework for Genomic Processing},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016)},
year={2016},
pages={198-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005668401980206},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016)
TI - PAPAyA: A Highly Scalable Cloud-based Framework for Genomic Processing
SN - 978-989-758-170-0
AU - Andry, F.
AU - Dimitrova, N.
AU - Mankovich, A.
AU - Agrawal, V.
AU - Bder, A.
AU - David, A.
PY - 2016
SP - 198
EP - 206
DO - 10.5220/0005668401980206

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