You may be interested this recent story in GenomeWeb about how Advaita is taking the lead in the pathway analysis of RNASeq and proteomics data. We are excited that more and more people are gaining access to iPathwayGuide and iVariantGuide.

Advaita Aiming to Compete With Qiagen in Pathway Analysis

May 28, 2019
Neil Versel

CHICAGO (GenomeWeb) – A month ago, Advaita Bioinformatics, an upstart maker of biomedical interpretation software, won a big deal in Australia and New Zealand. Millennium Science agreed to dump the Qiagen Ingenuity Pathway Analysis platform in favor of Advaita’s iPathwayGuide and iVariantGuide technology for pathway and variant analysis.

It was not the first time Ann Arbor, Michigan-based Advaita had beaten out Qiagen for replacement systems.

Stanford University’s bioinformatics core also recently replaced Qiagen IPA with iPathwayGuide by purchasing five seat licenses. Advaita President and CEO Sorin Draghici visited last month to train Stanford staff on the software.

“I showed them what the platform does. I thanked them for the invitation and I jumped in a cab to go to the airport,” Draghici said. “By the time I got to the airport, I got a phone call from the home office that [Stanford had] ordered 10 more seats.”

Stanford has since increased that order to a site license for the entire campus, Draghici said.

“Most of our customers were customers who used IPA before and now are switching to us,” said Draghici, who also is associate dean for innovation and entrepreneurship and director of the Anderson Engineering Ventures Institute at Wayne State University in Detroit.

Rather than relying on gene-set enrichment analysis, iPathwayGuide uses a patented computational method for detecting and reducing pathway crosstalk. In April, Draghici and colleagues at Wayne State received a second patent for their computational method. Read more…

You may already have access to iPathwayGuide through your institution. Find out here.


Analyze Now

  1. Register to explore demo data
  2. Subscribe to analyze your ‘omics data
  3. Review and interact with pathways impacted in your experiment
  4. Share your results with collaborators for interpretation and analysis iteration
  5. Create publication-ready figures simply and easily

What You Can Expect

  • Better Insights
  • Higher Quality
  • Superior Convenience
  • Unmatched Usability
  • Unparalleled Reproducibility
Register to Explore Advaita’s Platform with Demo Data

Get Started!

Get in touch with Advaita to learn how our software will improve quality and efficiency for your Core Facility, Enterprise Bioinformatics team, or Research Lab.


About the Author: Sorin Draghici

Dr. Draghici is a Professor in the Department of Computer Science, and the head of the Intelligent Systems and Bioinformatics Laboratory at Wayne State University. He also holds a joint appointment in the Department Obstetrics and Gynecology and is an Associate Dean in Wayne State University's College of Engineering. Dr. Draghici is a senior member of IEEE, and an editor of IEEE/ACM Transactions on Computational Biology and Bioinformatics, Protocols in Bioinformatics, Discoveries Journals, Journal of Biomedicine and Biotechnology, and International Journal of Functional Informatics and Personalized Medicine. His publications include two books (”Data Analysis Tools for DNA Microarrays and Statistics” and ”Data Analysis for Microarrays using R”), 8 book chapters, and over 150 peer-reviewed journal and conference publications which gathered over 12,000 citations to date.