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Biomedical Researcher’s Intellectual Companion

Watch BRIC in action

BRIC Apps

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LabMate

The effortlessness of ChatGPT meets the data-driven knowledge in SPOKE to maximizing insights and minimizing hallucination.

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Optimal Path

The fastest and most powerful way to explore your hypothesis is through Optimal Paths. Users begin by setting their starting and ending node(s). Then they simply select the node and edge types they want between their terminal nodes and we calculate the most optimal paths and generate their network! Weeks of painstaking research finished in seconds!

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Node Enrichment

With Node Enrichment you can instantly check if your results are significantly related to nodes in SPOKE. Here the user uploads their own data and then chooses the domain(s) (Node Types) they want examine. The resulting network will contain both input and output nodes and can be styled to create publication quality images!

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Neighborhood Explorer

When users are comfortable with both the node and edge types in SPOKE they can strategically build networks with Neighborhood explorer. They start by selecting a single seed node from the millions of nodes in SPOKE. Then they proceed to first and second neighbor selection where they can filter the next node and edge types in the subsequent layers. The resulting network will contain all the current biomedical knowledge on their topic of interest. 

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Ontology Explorer

For beginners looking to better understand the ontologies within SPOKE, we suggest starting with the Ontology explorer. Here users can select an ontology and explore the different branches in an intuitive map-like view until they find the subset of nodes they are looking for.

We Integrate With Your Ecosystem

We can create custom APIs of BRIC tools for your company. Contact us for more information.

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MetaPath Explorer

Once the users are comfortable with the different node types in SPOKE they can generate more complex heterogeneous networks using the MetaPath explorer. Here users can design their networks by selecting the nodes and edges in the SPOKE metagraph. This tool is great for research investigating a new topic.

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