IPA automatically identifies curated datasets with significant similarities and differences to yours. Compare results, validate interpretation and better understand causal connections between diseases, genes and networks of upstream regulators.
Broaden the scope of your discovery and evaluate your dataset in the context of 200k+ analyses. Explore patterns between Canonical Pathways, Diseases and Functions, Upstream Regulators and Causal Networks.
Scan any available analysis from QIAGEN OmicSoft by querying a collection of genes in a network or pathway and identify ones that have similar or different gene expression patterns to your own analysis.
Visualize and explore the activity of any entity across 200k+ analyses. Gain insights into an entity by exploring predicted biological activity and representing disease conditions, treatment conditions, knockouts and more.
With all the expression datasets that are available to the public, wouldn’t it be great to compare them to your own expression data, so you could get a better understanding of the underlying biology of your data?
See how Analysis Match works in practice with a live demonstration.
Compare your data to over 700k 'omics samples and discover new patterns, connections and insights into your area of study.
