Skip to content

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

  • Contextualize data by focusing on a particular layer of the graph (e.g. study subject, compound, measurement)
  • Navigate within one layer of the graph, exploring and linking concepts of the particular graph layer
  • Traverse graph layers and link multiple areas and domains, enabling fusion of diversified data sources
  • Zoom-in on a particular entity (node) or a relationship (link) and represent the concept as a graph layer
  • Represent the time dimension and evolution of the graph as separate layers (e.g. exposing microbiome evolution and its relationship with conditions/diseases)
  • Create a multidimensional view of all data and explore it intuitively, without the need for a deep data science background
  • Divide different types of scientific enquiry into layers, to effectively select the right method to address them
  • Gain a completely new perspective on data navigation and obtain a holistic view of enterprise knowledge
  • Systematize multi-omics data and metadata representation, giving the right context to the data to facilitate interpretation
  • 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

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

Untitled-1 STAR-Level-1-badge ukri EIT Food + EU Logo RGB Landscape_WhiteLetters_keylineEUflag

Curious to know more?