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Connecting Data to Discoveries: Introduction to Biomedical Knowledge Graphs
Biomedical knowledge graphs are powerful tools for organizing complex biological information and uncovering relationships that are difficult to see in traditional data formats. For part 2 of this series, we will show how researchers new to knowledge graphs can use them to support hypothesis generation, target discovery and data exploration.
We will explore:
- Knowledge graph fundamentals
- How biological entities and relationships are represented
- How to query, navigate and interpret the interconnected biomedical data within the QIAGEN Biomedical Knowledge Base
No prior experience with graph…
The skinny
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