"So, when I started working with Graphs in 2012, one of the first community use cases that I encountered was all about biotech. I met a few people from the University of Ghent, who were working on some amazing protein interaction networks - and it was fascinating. Over the years, we have done quite a few activities on this, and we have kind of built a nice life sciences and healthcare community around Neo4j. Some amazing work is being done there."
News on CovidGraph
Here we publish information about the current development of the project.
CovidGraph - Exporting selections as Cypher queries
Podcast with Rik and Stefan interviewing Alexander and Martin
Neo4j's Rik von Bruggen and Stefan Wendin have talked with Martin and Alexander about the COVID*GRAPH project:
Fighting COVID-19 with Graph Technology
COVID*Graph provides researchers with the latest scientific data in the Knowledge Graph
Munich, April 3, 2020 - Scientists, developers and data scientists are becoming increasingly involved in the fight against the COVID-19 pandemic. The COVID*Graph project is actively developing a Knowledge Graph to provide researchers with free and easy access to the latest research data. The aim is to gain important insights into the spread and course of the coronavirus as quickly as possible, and thus come one step closer to developing a vaccine.
The not-for-profit project was launched in early March with the support of the German Center for Diabetes Research (DZD), Kaiser&Preusse, PRODYNA, Structr and yWorks, among others. The COVID*Graph team uses the graph database Neo4j to bundle scientific publications and research work in a central COVID-19 knowledge hub. Publicly available data sources on the coronavirus are linked with current and existing relevant patent specifications as well as data sets from genome and molecular biology databases. Currently, t...
First App: Visual Graph Explorer by yWorks
A first application has been developed by yWork's CTO Sebastian Müller which can be used to access the data in the knowledge graph.
Researchers can use the web application to explore the data available in our knowledge graph. An intuitive user interface helps them with finding papers, patents, authors, and genes and enables them to understand how they relate to each other.
The app allows for iteratively exploring the network of the papers and publications that reference each other, have been written by the same authors, talk about the same genes, etc. For the publications, abstracts and full-text can be seen directly in the app, where available.
We will be continously improving the app based on your feedback to enable more relevant use-cases. The web application runs in the browser and directly connects to our Neo4j Graph database server.
There is no intermediate server involved, the visualization and user interface has been implemented using Vuejs, Webpack, Vuetify.js and yFiles for HTML. It runs in modern web browsers like Chrome, support for older browsers will be added, soon.