Uncover the significance of ‘omics data and identify 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.
Data 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.
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.
Automatically match your analyses against approximately 50,000 curated publicly available datasets. Compare results, validate interpretation and better understand causal connections between diseases, genes, and networks of upstream regulators.
By combining a massive compendium of knowledge from the literature together with a massive collection of gene expression measurements.
Using IPA and the Upstream Regulator Analysis module, with just seven cases, we found two really strong predictors for differences between the platinum-sensitive and the platinum-resistant patients…
John Martignetti, Associate Professor, The Icahn School of Medicine at Mount Sinai
If you already have an active IPA license, access your license quickly by installing the IPA client on your computer.
If your Institution has an IPA license and you would like to join, simply complete the registration and follow the email instructions.
Windows Operating Systems:
Windows Internet Browsers:
Mac Operating Systems:
Mac Internet Browsers:
Java Runtime Enviroment (JRE). Not needed if using the installed version of the IPA client **:
Minimum Hardware Requirements:
Requirements for Advanced Analytics (Causal Network Analysis and BioProfiler):
We recommend that you install the IPA client using the installer located here: https://analysis.ingenuity.com/pa/installer/select
With the installer, you no longer need to install Java separately or login to IPA with a web browser. There is no offline mode for IPA, you need an internet connection to use it.
* Note: Due to Microsoft discontinuing support for the Windows XP operating system in April of 2014, the Ingenuity Apps Team at QIAGEN transitioned to legacy support for Ingenuity Pathway Analysis (IPA) on XP starting with the Spring release in March 2014. IPA will continue to function on the XP operating system and we anticipate no issues. However, we recommend that you upgrade to a newer operating system as soon as possible. With this reduced support for XP the IPA team will continue to investigate any reported defects and attempt to offer work-arounds for any identified issues if they arise due to XP.
**JRE is the acronym for the Java Runtime Environment and is the program required to run Java applications and applets on your computer. Java is not needed if using the installed version of the IPA client.
*** Lightweight usage of IPA includes search, build/overlay operations and small dataset upload and analysis creation. For larger analyses and comparison analyses, IPA requires more memory (RAM).
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