ADLIN Science provides a collaborative digital workspace for researchers to structure, manage, and analyze multi-omics data while ensuring data sovereignty and compliance with regulations. The platform enhances research efficiency by facilitating interdisciplinary collaboration and enabling the generation of FAIR-compliant datasets throughout the research lifecycle.
Funding
Funding not disclosed
Founders
Product
Problem
Life science researchers face challenges in efficiently structuring, managing, and analyzing complex multi-omics data while maintaining data sovereignty and complying with evolving regulations. Existing tools often lack the collaborative features needed for interdisciplinary research, hindering the generation of FAIR (Findable, Accessible, Interoperable, Reusable) datasets throughout the research lifecycle.
Solution
ADLIN Science provides a collaborative digital workspace designed to streamline the management, structuring, and analysis of multi-omics data for research teams. The platform enables researchers to maintain control over their data, intellectual property, and protocols, while facilitating secure, multi-disciplinary, and multi-institutional collaboration. By integrating tools such as R Studio and Jupyter Lab, ADLIN caters to both bioinformaticians and biologists, offering both code-based and no-code analytical options. The workspace ensures data replicability and facilitates the creation of FAIR-compliant datasets, accelerating research collaborations between public and private sector entities.
Target Audience
ADLIN Science targets academic research laboratories, hospitals, and biotech/pharmaceutical companies seeking to enhance research efficiency, ensure data sovereignty, and foster collaboration in multi-omics data analysis.
Features
- Collaborative workspace for structuring scientific methods and managing research data.
- Tools for generating, organizing, and structuring data within a dedicated environment connected to scientific projects.
- Integration of R Studio and Jupyter Lab for bioinformaticians and data scientists, alongside intuitive no-code analytical tools for biologists and clinicians.
- End-to-end data structuring to ensure protocol replicability and data durability.
- Data visualization tools developed by ADLIN, with access to open-source options.
- Services for bioinformatic analysis, data solutions, and technology expertise.
- Capabilities for multi-omics data analysis, including epigenetics, transcriptomics, single-cell analysis, genomics, proteomics, and metagenomics.
- Data modeling and harmonization services to transform heterogeneous datasets into exploitable resources.
- Secure data visiting, allowing data to remain on its original site while enabling interaction between data producers and consumers.