True Multi-Omics analysis is often out of reach for life science researchers due to the difficulty of integrating and harmonizing the data. This use case shows how easy it can be with Genestack’s Open Data Manager.
The amount of data generated in metabolomics can often be overwhelming, so effective data management is critical for success. In this use case, we will use data from the field of Nutraceuticals to show how simple it can be with ODM.
In this study we combine proteomics and blood test results for 400,000 patient samples to explore atopic dermatitis. We show how simple it is to handle this volume of data with ODM.
This article zooms into the details of getting data in, and sees how to make it possible on a tactical level and in practice via the use of agricultural and irrigation based metaphors.
There is no universal way to connect and model things. You need a system that will flex, that will allow you to define different data models for different modalities and different use cases. In this podcast the Wellcome Sanger Insititute and Genestack sit down and talk about the key to success in life sciences research.