SelectScience InterviewsLife Sciences

Understand Complex Omics Data with Ingenuity

23 Apr 2013

In this video Debra Toburen and Carla Bullitt discuss the latest version of IPA, a novel platform for understanding complex omics data. Debra tells SelectScience how IPA, an all-in-one web-based application, can be used to upload, find, compare and understand causal connections between diseases, genes and networks of upstream regulators. Carla also tells SelectScience about the company’s grant program that has been set up to help fuel pioneering scientific research. Interview filmed by SelectScience at AACR 2013.

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.

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Variant Analysis

Ingenuity Systems Inc.

Identify causal variants from human sequencing data in just hours Rapidly Identify and Prioritize Variants Ingenuity Variant Analysis combines analytical tools and integrated content to help you rapidly identify and prioritize variants by drilling down to a small, targeted subset of compelling variants based both upon published biological evidence and your own knowledge of disease biology. Biological Interpretation of your Variant Data With Variant Analysis, you can interrogate your variants from multiple biological perspectives, explore different biological hypotheses, and identify the most promising variants for follow-up.

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Understand Complex Omics Data with Ingenuity