IPA- Integrate and understand complex 'omics data
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…
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A powerful and informative, reproducible software.
Analyze the pathways in which genes upregulated or downregulated from RNA Seq. data
I would like to thank the staff in Qiagen during the lockdown in July and August that provided us with free IPA software online. It is a very powerful piece of software and you can get very detailed information regarding the genes that you are working with. In addition to making networks with many metabolites at different organelle levels in a cell. You can also get information about how your gene understudy contributes to disease and drugs available for treatment.
Review Date: 30 Oct 2020 | 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.
