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Isabl Platform, a digital biobank for processing multimodal patient data

BACKGROUND: The widespread adoption of high throughput technologies has democratized data generation. However, data processing in accordance with best practices remains challenging and the data capital often becomes siloed. This presents an opportunity to consolidate data assets into digital biobank...

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Autores principales: Medina-Martínez, Juan S., Arango-Ossa, Juan E., Levine, Max F., Zhou, Yangyu, Gundem, Gunes, Kung, Andrew L., Papaemmanuil, Elli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708092/
https://www.ncbi.nlm.nih.gov/pubmed/33256603
http://dx.doi.org/10.1186/s12859-020-03879-7
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author Medina-Martínez, Juan S.
Arango-Ossa, Juan E.
Levine, Max F.
Zhou, Yangyu
Gundem, Gunes
Kung, Andrew L.
Papaemmanuil, Elli
author_facet Medina-Martínez, Juan S.
Arango-Ossa, Juan E.
Levine, Max F.
Zhou, Yangyu
Gundem, Gunes
Kung, Andrew L.
Papaemmanuil, Elli
author_sort Medina-Martínez, Juan S.
collection PubMed
description BACKGROUND: The widespread adoption of high throughput technologies has democratized data generation. However, data processing in accordance with best practices remains challenging and the data capital often becomes siloed. This presents an opportunity to consolidate data assets into digital biobanks—ecosystems of readily accessible, structured, and annotated datasets that can be dynamically queried and analysed. RESULTS: We present Isabl, a customizable plug-and-play platform for the processing of multimodal patient-centric data. Isabl's architecture consists of a relational database (Isabl DB), a command line client (Isabl CLI), a RESTful API (Isabl API) and a frontend web application (Isabl Web). Isabl supports automated deployment of user-validated pipelines across the entire data capital. A full audit trail is maintained to secure data provenance, governance and ensuring reproducibility of findings. CONCLUSIONS: As a digital biobank, Isabl supports continuous data utilization and automated meta analyses at scale, and serves as a catalyst for research innovation, new discoveries, and clinical translation.
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spelling pubmed-77080922020-12-02 Isabl Platform, a digital biobank for processing multimodal patient data Medina-Martínez, Juan S. Arango-Ossa, Juan E. Levine, Max F. Zhou, Yangyu Gundem, Gunes Kung, Andrew L. Papaemmanuil, Elli BMC Bioinformatics Software BACKGROUND: The widespread adoption of high throughput technologies has democratized data generation. However, data processing in accordance with best practices remains challenging and the data capital often becomes siloed. This presents an opportunity to consolidate data assets into digital biobanks—ecosystems of readily accessible, structured, and annotated datasets that can be dynamically queried and analysed. RESULTS: We present Isabl, a customizable plug-and-play platform for the processing of multimodal patient-centric data. Isabl's architecture consists of a relational database (Isabl DB), a command line client (Isabl CLI), a RESTful API (Isabl API) and a frontend web application (Isabl Web). Isabl supports automated deployment of user-validated pipelines across the entire data capital. A full audit trail is maintained to secure data provenance, governance and ensuring reproducibility of findings. CONCLUSIONS: As a digital biobank, Isabl supports continuous data utilization and automated meta analyses at scale, and serves as a catalyst for research innovation, new discoveries, and clinical translation. BioMed Central 2020-11-30 /pmc/articles/PMC7708092/ /pubmed/33256603 http://dx.doi.org/10.1186/s12859-020-03879-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Medina-Martínez, Juan S.
Arango-Ossa, Juan E.
Levine, Max F.
Zhou, Yangyu
Gundem, Gunes
Kung, Andrew L.
Papaemmanuil, Elli
Isabl Platform, a digital biobank for processing multimodal patient data
title Isabl Platform, a digital biobank for processing multimodal patient data
title_full Isabl Platform, a digital biobank for processing multimodal patient data
title_fullStr Isabl Platform, a digital biobank for processing multimodal patient data
title_full_unstemmed Isabl Platform, a digital biobank for processing multimodal patient data
title_short Isabl Platform, a digital biobank for processing multimodal patient data
title_sort isabl platform, a digital biobank for processing multimodal patient data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708092/
https://www.ncbi.nlm.nih.gov/pubmed/33256603
http://dx.doi.org/10.1186/s12859-020-03879-7
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