Quickly visualize and understand complex ‘omics data and perform insightful data analysis and interpretation by placing your experimental results within the context of biological systems.
See what’s new in the – QIAGEN IPA Spring 2020 Release
Discover why QIAGEN Ingenuity Pathway Analysis the leading pathway analysis application among the life science research community and is cited in tens of thousands of articles for the analysis, integration and interpretation of data derived from ‘omics experiments. Such experiments include RNA-seq, small RNA-seq, metabolomics, proteomics, microarrays including miRNA and SNP, and small-scale experiments. With QIAGEN IPA you can predict downstream effects and identify new targets or candidate biomarkers. QIAGEN Ingenuity pathway Analysis helps you perform insightful data analysis and interpretation to understand your experimental results within the context of various biological systems.
Data analysis and interpretation with QIAGEN IPA is built on the most comprehensive, manually curated content of the QIAGEN Knowledge Base to help scientists like you understand the biological context of your expression analysis experiments. Powerful algorithms, combined with rich content, provide unique advanced analysis capabilities to help you identify the most significant pathways, whether they are activated or inhibited, and discover potential novel regulatory networks and causal relationships associated with your experimental data.
QIAGEN Ingenuity Pathway Analysis lets you go beyond pathways and explore other facets of your data through Advanced Analytics and now comes standard on all QIAGEN IPA subscriptions. Causal Network Analysis exposes causal relationships associated with your experimental data by expanding upstream analysis to include regulators not directly connected to targets in your dataset. The BioProfiler helps you identify potential therapeutic or toxicity targets, and associated known drugs and biomarkers. IsoProfiler help you identify specific isoforms with specific biological properties.
Automatically match your analyses against over 57,000 curated publicly available datasets and any previous experiments you wish to include. Compare results, validate interpretation and better understand causal connections between and among diseases, genes and networks of upstream regulators. Strengthen hypotheses and discover new biological insights by combining an enormous compendium of knowledge from the literature with a massive collection of gene expression measurements.
Causal Network Analysis
Gene and ChemView
Downstream Effects Analysis
Molecule Activity Predictor (MAP)
Tox Lists and Tox Functions
Upstream Regulator Analysis
Interaction Network Analysis
MicroRNA Target Filter
Transform your networks and pathways in QIAGEN IPA into publication-quality pathway graphics rich with color, customized text and fonts, biological icons, organelles and custom backgrounds. Expand and explore pathways using the high quality content stored in QIAGEN IPA.
Changes in the phosphorylation states of proteins provide an important regulatory mechanism in mammalian cells. Discover upstream regulators and causal network master regulators that may be driving the changes in phosphorylation levels of the proteins in your phosphoproteomics dataset. Visualize how the phosphorylated proteins affect Canonical Signaling pathways. These results provide testable hypotheses by identifying potential signaling cascades from the phosphorylation patterns in your dataset. Note: Included in QIAGEN IPA with Advanced Analytics.
IsoProfiler helps you to identify and prioritize isoforms having interesting biological properties relevant to your research. Find genes with RNA transcripts having unusual pattern(s) of expression such as isoform switching or with known diseases or functions. You can also use the fully-integrated human GTEx expression data to identify transcripts with known tissue-specific expression. Visualize isoform-level expression in one or across multiple datasets. Note: Included in QIAGEN IPA with Advanced Analytics.
Generates multi-level regulatory networks that may explain the gene expression changes exhibited in a dataset. This tool enables the discovery of novel regulatory mechanisms by expanding upstream analysis to include regulators not directly connected to targets in the dataset. Note: Included in QIAGEN IPA with Advanced Analytics.
BioProfiler searches the QIAGEN IPA Knowledge Base of scientific information to generate molecular profiles of diseases, phenotypes and biological processes (e.g., apoptosis) listing all the genes and compounds associated with the profiled term. Find, filter and prioritize genes and compounds based on the research question at hand. Focus on molecules of interest, find causally relevant genes, filter for specific genetic evidence or for species, and explore associations with similar diseases or phenotypes. The surfaced data can then be examined further in pathways using all QIAGEN IPA features. Note: Included in QIAGEN IPA with Advanced Analytics.
Rapidly identify the best biomarker candidates based on biological characteristics most relevant to the discovery study.
QIAGEN IPA’s Search & Explore capabilities offer researchers access to the most current findings available for genes, drugs, chemicals, protein families, normal cellular and disease processes, and signaling and metabolic pathways.
Quickly visualize trends and similarities across analyses using heat maps for Canonical Pathway, Downstream Effects, Upstream Regulators and Causal Network Analyses. Prioritize by score, hierarchical cluster or trend.
Automatically generate plausible signaling cascades describing potential mechanism of action leading to observed gene expression changes.
Identify whether significant downstream biological processes are increased or decreased based on gene expression results.
Interrogate sub-networks and Canonical Pathways and generate hypotheses by selecting a molecule of interest, indicating up or down regulation and simulating directional consequences of downstream molecules and the inferred activity upstream in the network or pathway.
IPA-Tox uses Toxicity Functions combined with Toxicity Lists to link experimental data to clinical pathology endpoints, understand pharmacological response and support mechanism of action and mechanism of toxicity hypothesis generation.
Provides details associated with the disease or biological function such as molecules associated with that disease or function, known drug targets, drugs known to target those molecules and more.
Understand the structure and function of both human and mouse isoforms (splice variants). For each gene, toggle between human or mouse RefSeq and Ensembl to visualize associated isoforms on the Isoform View.
Build and explore transcriptional networks, microRNA-mRNA target networks, phosphorylation cascades and Protein-Protein or Protein-DNA interaction networks. Identify regulatory events that lead from signaling events to transcriptional effects. Understand toxicity responses by exploring connections between drugs or targets and related genes or chemicals. Edit and expand networks based on the molecular relationships most relevant to the project.
Reduce the number of steps it takes to confidently, quickly and easily identify mRNA targets by examining microRNA-mRNA pairings, explore the related biological context and filter based on relevant biological information as well as expression information. The microRNA Target Filter in QIAGEN IPA provides insights into the biological effects of microRNAs, using experimentally validated interactions from TarBase and miRecords, and predicted microRNA-mRNA interactions from TargetScan. Additionally, QIAGEN IPA includes a large number of microRNA-related findings from the peer-reviewed literature.
Complete NGS and 'omics data analysis tools with flexible access, from a laptop to a local server to the cloud
Identify and explore contextual data in seconds, featuring an extensive collection of highly curated ‘omics data
Expand your clinical interpretation with expert-curated software for variant classification of any assay, covering any indication, on your sequencing platform
Windows Operating Systems:
Windows Internet Browsers:
Java Runtime Enviroment (JRE).
Not needed if using the installed version of the QIAGEN IPA client **:
Minimum Hardware Requirements:
* 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 QIAGEN IPA on XP starting with the Spring release in March 2014. QIAGEN 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 QIAGEN 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.
Mac Operating Systems
Requirements for Advanced Analytics
(Causal Network Analysis and BioProfiler):
We recommend that you install the QIAGEN Ingenuity Pathway Analysis 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 QIAGEN IPA with a web browser. There is no offline mode for QIAGEN IPA, you need an internet connection to use it.
**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 QIAGEN IPA client.
*** Lightweight usage of QIAGEN IPA includes search, build/overlay operations and small dataset upload and analysis creation. For larger analyses and comparison analyses, QIAGEN IPA requires more memory (RAM).