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University of Southern California

Ingenuity Pathway Analysis (IPA)  

Last Updated: Nov 21, 2011 URL: http://norris.usc.libguides.com/IPA Print Guide RSS UpdatesShareThis

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Ingenuity Pathway Analysis (IPA)

What's New

Experimental validated microRNA target are to be added to IPA Fall 2011, including:

  • miRecords: all 2,600 experimentally validated human, rat, and mouse microRNA-mRNA interactions
  • Literature Findings: 13,100 microRNA-related Findings manually curated from published literature by Ingenuity scientific experts


IPA 9.0 features:


A brand-new microRNA analysis workflow  

  • Identify mRNA targets for microRNAs from TargetScan and TarBase
  • Explore the related biological context of microRNA-mRNA pairs
  • Filter microRNA-mRNA pairs based on relevant biological characteristics
  • Integrate microRNA and mRNA data with other types of datasets for elucidating biological impacts

An improved RNA-seq workflow

  • Directly upload processed RNA-Seq datasets into IPA by RefSeq, Ensembl, and UCSC IDs

For more information:

    Main Applications

    • IPA Core Analysis: Identify signaling and metabolic pathways, molecular networks, and biological processes that are most significantly perturbed in a dataset of interest.
    • IPA-Metabolomics: Gain biological insight into cell physiology and metabolism from metabolite data.
    • IPA-Tox: Analyze toxicity and safety of candidate compounds to better understand pharmacological response, drug mechanism of action, and mechanism of toxicity.
    • IPA-Biomarker: Identify the most promising and relevant biomaker candidates within experimental datasets.
    • Path Designer: Transform customized networks and pathways into publication-quality pathway graphics.

    Noteworthy Features

    • All-in-one web-based application provides easy and flexible accesses, as well as facilitates collaboration and results sharing.
    • High quality, human curated knowledge database for functional and systematic analysis of data derived from gene expression and SNP microarrays, metabolomics and proteomics experiments, and smaller-scale experiments that generate gene lists.
    • Enables search for targeted information on genes, proteins, chemicals, and drugs, and build interactive models of your experimental systems.
    • Extensive library of well-characterized signaling and metabolic pathways offer a starting point for exploration and a bridge between novel discovery and known biology. Layer in novel insights, drugs, and 'omics data.
    • Direct import of gene lists from microarray analysis software such as Partek Genomic Suite allows seamless integration of high throughput omics data.
    • Accepts data from various experimental platforms such as gene expression, proteomics, genotyping, siRNA, miRNA, and Metabolimics. Supports all major commercial array platforms.
    • Extensive knowledge database on model organisms human, mouse, rat and canine. Additional species supported via ortholog mapping.
    • Interactively links external major databases in NCBI and other sources.
    • Supports Windows and Macintosh OS, and fully compatible with major web browsers.

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