Work

JINet: easy and secure private data analysis for everyone

Year: 2025

Type: article

Abstract: BACKGROUND: The barriers to effective data analysis are sometimes insurmountable. Concerns ranging from privacy, security, and complexity can prevent researchers from using existing data analysis tools. RESULTS: JINet is a web browser-based platform intended to democratise access to advanced clinical and genomic data analysis software. It hosts numerous data analysis applications that are run in the safety of each User's web browser, without the data ever leaving their machine. CONCLUSIONS: JINet promotes collaboration, standardisation and reproducibility by sharing scripts rather than data and creating a self-sustaining community around it in which Users and data analysis tools Developers interact thanks to JINet's interoperability primitives.

Source: BMC Bioinformatics

DOI: 10.1186/s12859-025-06244-8

Authors: Giada Lalli, James Collier, Yves Moreau, Daniele Raimondi

Institutions: KU Leuven, Vlaams Instituut voor Biotechnologie, Université de Montpellier, Institut de Génétique Moléculaire de Montpellier

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,990

Funders: Fonds Wetenschappelijk Onderzoek, National Human Genome Research Institute