Analysis Hub
Guided exploratory and statistical data analysis with interactive visualizations
Analysis Hub
Eagle Genomics’ Analysis Hub enables the performance of a wide variety of analyses and modelling, including graph and predictive learning, time series analysis, correlation and causal inference.
The Analysis Hub is a common environment that contains a number of tools, pre-defined statistical and machine learning (ML) models. These capabilities are available to other e[datascientist] applications in support of the scientific workflow.
The Analysis Hub is also designed to integrate external (plug and play) best-of-breed statistical, ML models and visualization tools.
Eagle Genomics' Analysis Hub systematizes calls from applications for data analyses and visualizations.
Explore the platform
services
Augment the internal data estate with an industry-defining data universe designed to accelerate collaborative innovation in the microbiome space.
low-code customer apps
Compose robust low-code applications covering a range of business needs. Extend e[datascientist] to deliver custom capabilities and experiences.
Innovating for a better future
Eagle Genomics’ innovative approach in establishing a platform-driven ecosystem for the generation and exchange of scientific data-derived assets is of great potential value to Unilever.

Samantha Tucker-Samaras
Global Vice President Science & Technology, Beauty and Personal Care R&D at Unilever.
Healthy animals, healthy people and a healthy planet are all interconnected. With the advanced knowledge and insights we anticipate generating from our microbiome data, the e[datascientist] will allow us to bring more relevant products to market.

Mike Johnson
Marketing Director at Cargill Health Technologies
As a company driven by innovation, Reckitt collaborates with partners who bring powerful new capabilities to the table so we can deliver disruptive ideas to the market.

Chris Jones
Vice President of R&D Hygiene at Reckitt



