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Built with ChemAxon, Neo4j, and Tom Sawyer Perspectives, Sanofi’s Chemical Similarity Graph Application Debuts at ChemAxon User Meetings

Sanofi Invites Tom Sawyer Software to Co-present Its Chemical Similarity Graph Application at ChemAxon User Meetings Worldwide

Berkeley, CA, March 22, 2019—Tom Sawyer Software, the global leader in graph and data visualization and analysis technology, is honored to be invited by Sanofi to co-present its Chemical Similarity Graph application at ChemAxon User Meetings worldwide.

At the San Diego User Meeting on March 20, Brendan Madden, our Chief Executive and one of the world's foremost experts in graph and data visualization and analysis, discussed how Sanofi uses Tom Sawyer Perspectives' visualizations, Neo4j's graph database, and ChemAxon's Marvin JS sketcher plug-in to search, display, and analyze large and complex chemical data more efficiently.

 

Brendan Madden presenting at the ChemAxon User Meeting in San Diego

Brendan will present at the User Meeting in Cambridge on March 25. The third and final meeting will take place in Budapest, Hungary on May 21, 2019.

We're looking forward to seeing you there and demonstrating how our visualization solutions can enable health care and life science organizations to visualize their complex data.

Sanofi's Chemical Similarity Graph application, built with Tom Sawyer Perspectives

To try a free demonstration, request an evaluation, or contact us for more information, visit us here.

You can also continue the conversation by following us on Twitter, LinkedIn, and Facebook.

Media Contact:
Deborah Baron
Vice President of Marketing
Tom Sawyer Software

About Tom Sawyer Software

Tom Sawyer Software is the leading provider of software and services that enable organizations to build highly scalable and flexible graph and data visualization and analysis applications. These applications are used to discover hidden patterns, complex relationships, and key trends in large and diverse datasets. Tom Sawyer Software serves clients with needs in link analysis; network topology; architectures and models; schematics and maps; and dependencies, flows, and processes. We help clients federate and integrate their data from multiple sources and build the graph and data visualization applications that are critical to analyzing and gaining insight into their data.

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