Identifying molecular signatures for rare diseases is challenging, mainly due to limited sample sizes and heterogenous data. Researchers must often piece together fragmented evidence to uncover shared biological mechanisms. Though inescapable, this process can be more efficient.

See how QIAGEN OmicSoft Lands and Ingenuity Pathway Analysis (IPA) streamlines biomarker signature discovery using curated real-world datasets and powerful causal analytics. With automation powered by SQL, Python and R APIs, OmicSoft and IPA enable scalable, reproducible analyses across multiple disease contexts, accelerating the path from data to discovery.

You will learn how to:

• Explore and query neurodegenerative disease datasets in QIAGEN OmicSoft Lands using SQL and Python

• Automate pathway and regulator analysis in IPA using Python and R APIs

• Scale and produce analyses across multiple cohorts