External (data) partnerships

Save months of work by acquiring (data) services from Genecards or Elucidata to be directly integrated into your research project(s)

Key Features

;

Analysis-ready harmonized data via Elucidata

;

Integrate Genecards’ information directly into your analysis

The UniApp platform offers users to leverage the strengths of other accelerators in the biomedical research domain, such as data providers.

That allows you to integrates these (dynamic) datasets directly into your research projects, saving vast amounts of time in a cost effective manner.

Analysis-ready harmonized data via Elucidata

The public domain provides a wealth of available biomedical datasets, however retrieving, processing to make them analysis-ready is time consuming activity. Acquiring analysis-ready accelerates research timelines and allows you to focus more on data analysis and interpretation rather than data wrangling tasks. Hereto we have entered into a partnership with a world-class public data mining company Elucidata. Its curated datasets are meticulously curated, ensuring high quality, consistency, and reliability. Additionally, Elucidata’s curated datasets have harmonized metadata, simplifying data integration and facilitating cross-study comparisons. You benefit from our Elucidata partnership by directly integrating their datasets with your own dataset library, studies etc. And often in a more cost-friendly manner than doing it all yourself.

Integrate GeneCards’ gene information directly into your analysis

GeneCards is a comprehensive compendium of human genes. It offers a wealth of curated information on gene function, expression patterns, associated diseases, and pathways, providing valuable insights into the biological mechanisms underlying various health conditions. By leveraging this rich resource, you gain access to up-to-date and well-organized data, enabling them to efficiently identify candidate genes relevant to their study objectives. This integration enhances the depth and strength of analyses, facilitating the exploration of gene-gene interactions, biomarker discovery, and potential therapeutic targets.