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e[hypergraph]
Contextualize data and navigate scientific data-entity relationships
Contextualize data and navigate scientific data-entity relationships
Scientific challenge
It is increasingly difficult to explore and traverse ever-growing quantities of data. Biological datasets are complex, and current data representation models impede the discovery of novel data relationships at scale.
How can scientific teams surface and assess the relevance and reliability of known and unknown data relationships? e[hypergraph] provides a consistent framework to systematically explore and understand scientific information.
Eagle Genomics has developed a new way of interacting with data, enabling queries on a multi-layer hypergraph across multi-omics data and metadata to promote the conversation between the human and data.
Key features
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Contextualize data by focusing on a particular layer of the graph (e.g. study subject, compound, measurement)
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Navigate within one layer of the graph, exploring and linking concepts of the particular graph layer
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Traverse graph layers and link multiple areas and domains, enabling fusion of diversified data sources
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Zoom-in on a particular entity (node) or a relationship (link) and represent the concept as a graph layer
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Represent the time dimension and evolution of the graph as separate layers (e.g. exposing microbiome evolution and its relationship with conditions/diseases)
Benefits
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Create a multidimensional view of all data and explore it intuitively, without the need for a deep data science background
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Divide different types of scientific enquiry into layers, to effectively select the right method to address them
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Gain a completely new perspective on data navigation and obtain a holistic view of enterprise knowledge
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Systematize multi-omics data and metadata representation, giving the right context to the data to facilitate interpretation
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Uncover previously undiscovered data relationships, assess relevance and reliability, and establish a groundbreaking approach to scientific knowledge discovery
Ready to get started?
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