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Written on March 29th, 2018 by Paul Vauterin

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DISQOVER 4.00 and the power of Visual Analytics

With the release of version 4.00 of our DISQOVER platform, we bring the power of Visual Analytics to your data discoveries. The deep integration with DISQOVER’s core linked data philosophy creates a unique offering, and allows you to endeavor data exploration journeys that were previously unthinkable.

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Written on March 6th, 2018 by Bérénice Wulbrecht

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Explore Genetic Variation of Human Cancer Genes in DISQOVER

One of the key types of information in DISQOVER is human genetic variations and their links to genes, diseases etc. We recently integrated two new data sources: 1000 Genomes and gnomAD. These data sources include human variation and genotype data derived from a large set of human individuals.

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Written on March 6th, 2018 by Bérénice Wulbrecht

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Search for Adverse Events in DISQOVER

DISQOVER is now also hosting a new canonical type: Adverse Event. It contains reports of untoward medical occurrences and treatments, without necessary causal relationship.

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Written on September 18th, 2017 by Hans Vergauwen

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Welcoming Paul Vauterin as VP Visual Analytics

We’re glad to have Paul Vauterin join ONTOFORCE as Vice-President Visual Analytics. Paul’s an expert in software product creation and management, including vision, strategy and execution for biotech, human diagnostics, data mining and visual analytics applications.

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Written on August 30th, 2017 by Filip Pattyn

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Bringing down the virtual walls around hospital data

Integrating an organization’s internal data is challenging. It requires strategic vision by the organization’s leadership and an open mindset on different levels. In our experience, establishing such a solution has a greater chance of success if stakeholders quickly and easily notice the benefits. Small pragmatic initiatives with few data sources that solve a limited number of use-cases, can demonstrate how things can improve for the whole organization.

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Written on July 6th, 2017 by Filip Pattyn

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Connected Data landscapes: a Self-Service Knowledge Platform at Amgen

One and a half years ago we started to work with Amgen to help them improve the way they search and retrieve research data. They were looking for a solution that could aggregate and interlink their internal research data, enrich it with public data and provide an appealing, user-friendly interface for end-users.

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