Pathway Analysis (IPA)

Ingenuity® Pathway Analysis (IPA®) is a powerful analysis and search tool that uncovers the significance of 'omics data and identifies new targets or candidate biomarkers within the context of biological systems. IPA has broadly been adopted by the life science research community and is cited in thousands of articles for the analysis, integration, and interpretation of data derived from 'omics experiments, such as RNA-seq, small RNA-seq, microarrays including miRNA and SNP, metabolomics, proteomics, and small scale experiments.

Going beyond pathway analysis

Causal Network Analysis, a component of IPA Advanced Analytics, exposes causal relationships associated with your experimental data by expanding upstream analysis to include regulators that are not directly connected to targets in your dataset. In addition, BioProfiler helps you identify potential therapeutic or toxicity targets, as well as associated known drugs and biomarkers.

Insightful data analysis and interpretation

image_subpage_2Data analysis and interpretation with IPA builds on the comprehensive, manually curated content of the Ingenuity Knowledge Base to help scientists understand the biological context of their expression analysis experiments. Powerful algorithms combined with content provide unique advanced analysis capabilities to help you identify the most significant pathways and discover potential novel regulatory networks and causal relationships associated with your experimental data.


Experimental features




Enquiry Form

Required fields are marked with*