Back to Search Start Over

Isabl Platform, a digital biobank for processing multimodal patient data

Authors :
Andrew L. Kung
Elli Papaemmanuil
Yangyu Zhou
Gunes Gundem
Juan E. Arango-Ossa
Max Levine
Juan S. Medina-Martinez
Source :
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-18 (2020), BMC Bioinformatics
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

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.

Details

Language :
English
ISSN :
14712105
Volume :
21
Issue :
1
Database :
OpenAIRE
Journal :
BMC Bioinformatics
Accession number :
edsair.doi.dedup.....acd2debfc42c8b0b38fd5b8e112bcc72