What the scientific
community is saying

Our RNA-seq solution allows you to focus on biology. It gives you the tools to drive your research forward. Ingenuity Pathway Analysis (IPA) has been broadly adopted by the life science research community and is cited in thousands of peer-reviewed journal articles.

 

We’ve recently seen that genes associated with critical cellular functions are often regulated post-transcriptionally. Ingenuity’s Upstream Regulator in IPA allows for the identification of these important regulators from expression data sets and is going to completely change the field of bioinformatics by identifying these potential regulators and not limiting the analysis to just the transcriptome.

Michael Edwards, Ph.D., Assistant Professor, UC Denver

I’m excited to leverage the new Molecular Activity Predictor (MAP) and Causal Network Analysis in Ingenuity’s IPA. The powerful analytic capability for insilico data prediction to infer upstream activity in the network or pathway in IPA allows me to go beyond my own knowledge to further understand the biology.

Anirban P. Mitra, M.D., Ph.D., Senior Research Associate, University of Southern California.

 

The pathways themselves require library‐like organization and curation. A handful of project have undertaken the task of capturing and curating this knowledge as semantic content that is amenable to computation. Unlike systems biology networks, pathways cannot be directly inferred from high throughput data, but rather require the synthesis of multiple discoveries, insights, and diverse data types spanning years, or even decades, of work by multiple groups.

Thomas Kelder, CSO of EdgeLeap B.V., Utrecht, The Netherlands

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