Model, Analyze, and Understand the Complex Biological and Chemical Systems at the Core of Life Science Research with IPA
27 Mar 2013
IPA from Ingenuity helps you to understand complex ‘omics data 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. In this video Dr Stuart Tugendreich reveals the new features that have been incorporated into the latest version of IPA, including the mechanistic networks tool for the discovery of plausible signaling cascades and the molecular activity predictor tool for simulating directional consequences of downstream molecules.
About the company
Ingenuity Systems Inc.
QIAGEN Redwood City, formerly Ingenuity Systems, is based in Redwood City, California. As the company’s Center of Excellence in Biological Analysis and Interpretation, QIAGEN Redwood City is a leading provider of biomedical information and analysis solutions for the exploration, interpretation and analysis of complex biological systems in life science research and now moving towards molecular diagnostics. Marketed under the Ingenuity brand, these innovative solutions offered by QIAGEN are used by tens of thousands of researchers and clinicians at hundreds of leading pharmaceutical, biotechnology, academic, and clinical institutions worldwide.
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IPA- Integrate and understand complex 'omics data
Ingenuity Systems Inc.Comprehensive pathway and network analysis of complex 'omics data Peer Reviewed and Widely Adopted: IPA has been broadly adopted by the life science research community and is cited in thousands of peer-reviewed journal articles. Understand Complex ‘Omics Data:IPA helps you understand complex ‘omics data 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. Discover Causal Connections. Faster. NEW:IPA helps you discover plausible signaling cascades by auto-generating regulatory networks which describe potential mechanisms of action predicted to explain the gene expression changes in your dataset. Unlock the Value of your Experiments:Analyze, integrate, and understand data derived from gene expression, microRNA, and SNP microarrays; metabolomics, proteomics, and RNA-Seq experiments; and small-scale experiments that generate gene and chemical lists with IPA.
