JINet: easy and secure private data analysis for everyone
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.
Authors
- Daniele Raimondi (ORCID: https://orcid.org/0000-0003-1157-1899)
- G Lalli
- Yves Moreau (ORCID: https://orcid.org/0000-0002-4647-6560)
- James B. Collier
Institutions
- Université de Montpellier (FR)
- Institut de Génétique Moléculaire de Montpellier (FR)
- VIB-UGent Center for Inflammation Research (BE)
- KU Leuven (BE)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1186/s12859-025-06244-8
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 0.00