Tools

Open Source Tools for Life Sciences Research

ELIXIR Luxembourg develops and maintains a suite of open source tools specifically designed to address challenges in life sciences research. Our tools are domain-specific, focusing on key areas such as data management, governance, and FAIR data practices.

Why Use Our Tools?

Expert Support: Get direct support from the ELIXIR Luxembourg team — the developers and maintainers of these tools
Community Engagement: Join a growing community of researchers and organizations using these tools
Open Source: All tools are open and freely available, ensuring transparency and collaborative development
Domain-Specific Design: Built on real challenges and use cases from the life science research community

Tool catalogue

Browse our tools

ADEPT

Analysis, Discovery, and Exploration Platform for Translational Medicine. A web application enabling biomedical researchers to visualise, explore, and analyse large, complex health datasets with fine-grained access control and compliance at its core.

DAISY

DAISY

Data Information System for compliant data management in biomedical research. Tracks data flows, manages consent records, and documents governance for GDPR and institutional policy compliance.

Data Catalogue

Data Catalogue

Centralised platform for discovering and advertising biomedical datasets. Helps data providers make their datasets findable across the European research community following FAIR data principles.

Data Submission System

Collaborative platform for streamlined submission of biomedical data and metadata. Guides submitters, recipients, and data stewards through metadata collection, file transfer, review, validation, and completion.

DS-Pack

Open-source middleware assembly for end-to-end controlled access data workflows, from submission through to data access. Data protection principles are built into every component, with support for cloud-based access control.

Minerva

Minerva

Data exploration and visualisation platform for disease and pathway maps. Hosts manually curated molecular mechanism maps supporting experimental data overlay, drug target identification, and FAIR-compliant computational workflows.