Biomedical knowledge graphs are powerful tools for organizing complex biological information and uncovering relationships that are difficult to see in traditional data formats. This introductory webinar is for researchers new to knowledge graphs who want to understand how they can support hypothesis generation, target discovery and data exploration.

You will explore:

• - The fundamental concepts behind knowledge graphs

• - 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 databases or graph analytics is required – just curiosity about new ways to work with biomedical knowledge.