Qiagen Ingenuity Pathway Analysis (IPA)
The IPA difference
Distill your ‘omics data into evidence-backed, actionable insights
QIAGEN Ingenuity Pathway Analysis (IPA) is an analysis and visualization platform built on a rich, expert-curated knowledge base. For researchers like you who need to analyze, compare and contextualize the results of complex ‘omics experiments, QIAGEN Ingenuity Pathway Analysis (IPA) provides integrative analysis and visualization capabilities that enable biologically meaningful data interpretation with evidence-backed insights.
With QIAGEN IPA, you can analyze experimental data in the context of known biology, quickly narrow in on what is most important in their datasets and discover novel relationships. IPA also lets you search for targeted biological information, build your own biological models and refine your hypotheses so you can test them at the bench.
Activity Plot
Explore the predicted biological activity of an upstream regulator, disease, function or pathway across thousands of public ‘omics datasets
Analysis Match
Compare your results across 250K+ unified public ‘omics datasets from OmicSoft Lands
Canonical pathway analysis
Comprehensive activation prediction with human-curated signaling and metabolic pathways that are statistically relevant to your dataset
Causal Network Analysis
Uses causal scoring to generate hierarchical regulatory networks
Identify potentially novel connections with master regulators that influence your observed expression through a cascade of other regulators
Comparison Analysis
Analyze changes across your datasets at a glance with prediction heatmaps and pathway overlay
Diseases, functions and toxicity
Identify perturbed biological functions, diseases and toxicological functions based on your expression data
Enhanced visualization and AI-powered interpretations
AI-powered summaries of biological themes in your data to jumpstart your interpretation
Create presentation- and publication-ready graphics with various customization options
Interrogate established pathways
Find connections between pathways and key players
Predict pathway activity based on actual or simulated data
Upstream regulator analysis
Identify the transcription factors, kinases, drugs, and more that can regulate your dataset molecules via activation or inhibition
See IPA in action
Targeting strategy mitochondrial ATP synthase: A novel in anticancer therapy
Researchers from the University of Salford and the University of Calabria identify ATP5F1C as a promising biomarker and therapeutic target for preventing metastatic disease progression.
Short-chain fatty acids and dexamethasone synergise to suppress gastric cancer cells
Researchers from Australia and Egypt explore the synergistic effect of short-chain fatty acids and dexamethasone in suppressing gastric cancer.
Lithium deficiency and the onset of Alzheimer’s disease
Harvard Medical School researchers and collaborators connect lithium deficiency with repressed Wnt/β-catenin signaling and heightened GSK3β activity, mechanisms linked to Alzheimer’s pathology.
IPA is a powerful tool for predicting the benefits and side effects of treatments, as well as identifying potential interactions and pathways at the molecular level.
IPA is a factor that raises our work to higher impact journals.
