IPA 2013 Spring Release – Discover Causal Connections. Faster

Discover Causal Connections. Faster.  The 2013 IPA Spring Release is here!  

Powerful new functionality enables you to upload, find, compare, and understand causal connections between diseases, genes, and networks of upstream regulators.

New Capabilities In IPA Include:

  • Visualize trends across canonical pathway scores across dose, time, or other condition using the new Comparison Analysis heat map.
  • Streamline your analysis workflows with Batch Upload and Batch Analysis which enable you to upload and analyze a batch of datasets.
  • Uncover hidden connections in upstream regulators to generate plausible causal networks which explain observed expression changes.
  • Prioritize resulting hypothesis by molecule, disease, and/or phenotype of interest.
  • Identify genes known to be causally relevant to a diseases or phenotype as potential drug targets or as targets of toxicity.

Two new powerful features in the 2013 Spring Release of IPA will help you understand causal connections between diseases, genes, and networks of upstream regulators. Using BioProfiler, quickly identify genes known to be causally relevant to a diseases or phenotype as potential drug targets or as targets of toxicity. Find, filter and prioritize genes and compounds by their specific relationships with diseases, phenotypes, and biological functions (e.g. ‘apoptosis’).

BioProfiler offers unprecedented access to the underlying Ingenuity disease and process ontology enabling precise search and filtering of the diseases and phenotypes of interest to you.

The new Causal Network Analysis generates plausible regulatory networks which may explain the gene expression changes in your dataset. These novel upstream regulators control small hierarchical networks which do not require all the molecules to have direct connection to the dataset. Scoring criteria enable you to prioritize the most interesting and relevant hypothesis and quickly visualize the regulatory networks most closely associated with your disease or phenotype of interest.

DSC_2940 For more information on the new release, please watch the recording On Demand on our YouTube channel: “Discover Causal Connections. Faster.” by Dr. Stuart Tugendreich, Scientific Director, IPA.