
Ingenuity Pathway Analysis

Ingenuity Pathway Analysis (IPA) is a comprehensive bioinformatics software that enables researchers to analyze and interpret complex 'omics data, including gene expression, miRNA, SNP microarrays, metabolomics, proteomics, and RNA-Seq datasets. By leveraging the extensive Ingenuity Knowledge Base, IPA facilitates the identification of key pathways, molecular networks, and biological functions pertinent to experimental data. This powerful platform aids in understanding the underlying mechanisms of biological processes and is widely utilized in academic, pharmaceutical, and biotechnology research. With IPA, researchers can analyze large datasets, pinpoint critical pathways and functions disrupted in their experiments, and generate hypotheses regarding potential targets for intervention.
Key features:
- Pathway Analysis: Identify significantly affected canonical pathways and predict their activation or inhibition status.
- Upstream Regulator Analysis: Predict upstream molecules, such as transcription factors, that may be responsible for observed gene expression changes.
- Disease and Function Analysis: Determine the biological functions and diseases most significantly associated with your dataset.
- Comparison Analysis: Visualize trends and similarities across multiple datasets to identify commonalities and differences in biological responses.
At the ATGC, we provide researchers with the opportunity to independently utilize IPA software for their data analysis needs. Access to IPA is available on a designated computer within our facility. To ensure effective use of the software, our team offers training to guide new users through IPA's functionalities. Before beginning work with the software, please contact us to arrange access.
Useful Resources:
- For additional resources and information, please visit the QIAGEN IPA webpage and the IPA learning portal.
- To gain a better understanding of IPA, you may find the following introductory video helpful: IPA Webinar: Part 1: Introduction to Ingenuity Pathway Analysis.
- Read more on how researchers use QIAGEN IPA to advance their research.
For additional information, please contact:
Liat Linde, Head
Rappaport Building: 073-3785452
Emerson Building: 073-3785168
Nitsan Fourier, Lab manager