Autumn brings us changing leaves, freshly sharpened number 2 pencils — and the latest release of our IPA tool.
The primary goal of IPA is to help you better understand the regulatory mechanisms driving gene expression changes and their impact on diseases of interest through interactive visual exploration of causality between molecules and disease, function, or phenotypes. For example, you can use Causal Network Analysis to look at predicted regulatory networks, or BioProfiler to quickly generate an interaction profile of molecules causally associated with the selected disease or biological functions.
With this release, you can ask real-time, “what if?” questions about molecular mechanisms of disease and simulate effects on functional endpoints of networks and pathways using IPA’s Molecule Activity Predictor (MAP).
We have also introduced a new Disease or Function View, which provides details associated with the disease or biological function such as interacting molecules, known drug targets, drugs known to target those molecules, and more. You can review shared molecules and relationships between molecules, diseases, and functions.
IPA now also features My Findings, which lets you control and customize the underlying content enabling even more robust causal analytics in IPA. You can use My Findings to import your own curated content or proprietary molecule-to-molecule and molecule-to-disease or -function relationships and use them throughout IPA. We provide a simple, standard format to import custom relationships; My Findings automatically maps those to the Ingenuity ontology and provides the ability to disambiguate terms or to create custom terms when necessary. By increasing the amount of content in a disease area of interest, this new function in IPA lets you discover plausible networks of connected upstream regulators and generate testable hypotheses faster.
To learn more about the fall release please visit: http://www.ingenuity.com/products/ipa/ipa-fall-release-2013.