IPA is a solution that helps researchers model, analyze, and understand complex biological systems by linking incoming data with known information regarding molecular interactions, cellular phenotypes, and disease processes.
The IPA plugin allows direct upload of one or more genes of interest from your CLC Genomics Workbench or Biomedical Genomics Workbench analysis, or upload of entire datasets from RNA-seq samples, such as the expression levels of all transcripts.
In addition, differential expression results from either microarray data or RNA-seq data can be uploaded from our analysis solutions to IPA.
All or filtered results of the most interesting genes can be uploaded, and you can now study up- and downregulation of genes in pathway view in IPA, and identify the most prominent biological processes involved in your experiment, as well as have access to associated literature.
Analyze and interpret to generate biological insights:
For more information, please visit Ingenuity Pathway Analysis (IPA).
We frequently release updates and improvements such as bug fixes or new features. To get a complete overview, please visit latest improvements.
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