IPA helps you understand biology at multiple levels by integrating data from a variety of experimental platforms and providing insight into the molecular and chemical interactions, cellular phenotypes, and disease processes of your system. Even if you don't have experimental data, you can use IPA to intelligently search the Ingenuity®Knowledge Base for information on genes, proteins, chemicals, drugs, and molecular relationships to build biological models or get up to speed in a relevant area of research. IPA provides the right biological context to facilitate informed decision-making, advance research project design, and generate new testable hypotheses.
Quickly analyze your experimental data to identify key insights
- Unlock the insights buried in your experimental data (gene expression, RNA-Seq, microRNA, mRNA, qPCR, proteomics, metabolomics, genotyping) by quickly identifying relationships, mechanisms, functions, and pathways of relevance.
- Quickly move beyond statistical analysis of high-throughput experimental data to novel biological insights, and the design of validation studies.
- Utilize powerful biological filters to quickly focus in on the results most relevant to your experimental model or experimental conditions.
- Easily search the scientific literature and find insights most relevant to your experimental model or question
- Find information extracted by experts from the full text of the scientific literature, including Findings about genes, drugs, biomarkers, chemicals, cellular and disease processes, and signaling and metabolic pathways.
- Easily understand and interpret literature information through innovative, customizable, publication-quality graphical layouts that highlight key relationships and novel connections.
- Have confidence in your hypotheses and conclusions with the support of the unsurpassed accuracy and breadth of biological and chemical Findings in IPA.
- Build dynamic pathway models to extend your understanding of your research systems
- Take advantage of the easy-to-use IPA solution to quickly and easily build your own pathway models and analyze your own experimental data.
- Understand the impact of new published research on your experiments through easy dynamic pathway modeling and frequent content updates.
- Explore beyond the constraints of "canonical" pathway views with a range of interactive tools for modeling upstream and downstream relationships, shortest path, and other relationships.
- Constrain the hypothesis space upfront by using contextual data analysis capabilities that create relevant models by narrowing in on pathway members by species, tissue and cell content, or disease.
- Complete the experiment to experiment workflow by leveraging reagent information within IPA.
- Share your research and collaborate with your colleagues with the easy-to-use IPA interface
- Share your customized pathways and analysis results with internal and external collaborators through interactive emails, lists, analysis summaries, and pathways.
- Share your project space to allow for on-going project collaboration.
- Create powerful, interactive, custom pathways to clearly represent your experimental models.
- Generate dynamic reports that describe the broader biological and therapeutic relevance of your pathways or gene lists.
- Join your peers in using the most highly-referenced pathway solution
- Join the growing community of thousands of researchers in hundreds of pharmaceutical, biotech, government and academic institutions who use IPA every day to accelerate their research.
- Publish your research with the support of the most frequently cited pathway solution in the scientific peer-reviewed literature.
