QIAGEN Digital Insights expands collaboration with Neo4j to advance biomedical data analysis

New agreement brings leaders in biomedical knowledge solutions and knowledge graph technologies together to aid the biopharmaceutical industry in analytics-driven drug discovery

11 Oct 2024

QIAGEN Digital Insights (QDI), the bioinformatics business of QIAGEN and a leading provider of bioinformatics software and biomedical knowledge content, has announced the expansion of its strategic partnership with Neo4j®, a world leading graph database and analytics company. The collaboration will enable Neo4j Graph Database and Graph Data Science capabilities to integrate more deeply with the QIAGEN Biomedical Knowledge Base (BKB) product line, unlocking hidden patterns and relationships in biomedical data, and revealing powerful new insights to advance drug discovery, drug repurposing and translational research.

Building on existing use of Neo4j graph exports by customers with the QIAGEN BKB, the partnership will explore and develop additional methods and toolsets that work with the QIAGEN biomedical knowledge graph. This integration will empower biopharma companies to jumpstart their use of QIAGEN’s manually-curated or AI-curated data by easily connecting internal and external data to generate comprehensive data insights and discover novel therapeutic targets.

The partnership will focus on enhancing solutions and integrating new technologies that complement each company’s biopharma portfolio. This strategic approach will ensure that biopharma customers have access to the most cutting-edge tools for navigating and analyzing complex biological data.

QDI is known for its deeply curated biomedical knowledge content which power applications like QIAGEN Ingenuity Pathway Analysis and QIAGEN OmicSoft Lands data. Neo4j is known for being pioneers in knowledge graphs, algorithms, and machine learning (ML) tools with their GraphRAG technology. By representing data as interconnected nodes and relationships, Neo4j enables businesses to analyze complex patterns, predict future outcomes, and optimize operations in a way that traditional relational databases simply cannot.

“Our collaboration with Neo4j has already enabled us to deliver powerful graph-based insights to our customers”, said Dominic John, VP and Head of QIAGEN Digital Insights. “By deepening our partnership, we are not only enhancing the usability of our Biomedical Knowledge Base for our customers, but also strategically exploring new methods and toolsets that will work to extend the capabilities of biomedical knowledge graphs.”

Sudhir Hasbe, Chief Product Officer at Neo4j, commented, “As we develop new ways to integrate and enhance the QIAGEN biomedical knowledge graph, we are confident that together we will unlock new possibilities for biopharma companies, driving innovation and improving patient outcomes.”

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