#GraphCast: Graphs in Life Sciences – The Cure for Connecting Complex Data

Catch this week’s #GraphCast on how graphs connect complex data in life sciences use cases, all of which are particularly prevalent in a Covid-19 world.

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This Week in Neo4j – Data Import using RxJS, GOV.UK Knowledge Graph, Analyzing ArXiv data

Hey graphistas, I hope your week’s going well. I’ve been playing around with the GDSL’s Pregel API, which provides a vertex-centric computation model for writing graph algorithms. I’ll write something up on my experiments soon. We’re getting close to the… Read more →

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#GraphCast: Graphs Connecting COVID-19 Research

Check out this week’s #GraphCast, featuring Alicia Frame being interviewed in TechRepublic on how Neo4j helps power drug discovery research for COVID-19.

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Neo4j Life Sciences & Healthcare Workshop – Proceedings from Berlin

Often invisible to the people outside of the field, life science researchers have been quietly embracing graph databases instead of the traditional triple and relational stores. On June 21, we invited a group of life science and healthcare researchers and… Read more →

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This Week in Neo4j – 24 June 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we look at how to create a Neo4j powered Alexa bot, analysing the Neo4j… Read more →

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