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Isabl Platform, a digital biobank for processing multimodal patient data
- 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.
- Subjects :
- Databases, Factual
Computer science
Relational database
lcsh:Computer applications to medicine. Medical informatics
Biochemistry
World Wide Web
03 medical and health sciences
User-Computer Interface
0302 clinical medicine
Multimodal data
Image processing
Structural Biology
Next generation sequencing
Web application
Humans
Molecular Biology
Analysis information management system
lcsh:QH301-705.5
030304 developmental biology
Biological Specimen Banks
0303 health sciences
Reproducibility
Internet
Software engineering
business.industry
Applied Mathematics
Reproducibility of Results
Genomics
Biobank
Computer Science Applications
Data processing
Audit trail
lcsh:Biology (General)
Software deployment
030220 oncology & carcinogenesis
lcsh:R858-859.7
business
Software
Subjects
Details
- Language :
- English
- ISSN :
- 14712105
- Volume :
- 21
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Bioinformatics
- Accession number :
- edsair.doi.dedup.....acd2debfc42c8b0b38fd5b8e112bcc72