We are a leader in the interpretation of high-throughput biomedical data including variant interpretation, pathway analysis, disease subtype discovery and integration of multiple data types. Currently, 9 of the top 10 pharma companies rely on Advaita’s state-of-the-art algorithms to solve complex problems. Advaita provides a suite of advanced analysis software to more that 13,000 registered users worldwide: iPathwayGuide, for functional interpretation of genes and proteins; iVariantGuide, for genetic variant analysis; and iBioGuide, a search engine revealing connections between genes, pathways, SNPs, drugs, and more.
Our mission is to bridge the gap between the ability to collect and interpret biological data.
Advaita Bioinformatics develops bioinformatics data analysis tools with capabilities to integrate multi-‘omic’ data from a systems biology perspective. Our proprietary computational method, Impact Analysis, considers the type, function, position and interaction between genes in a pathway as opposed to other approaches that consider genes to be independent.
Through our $2.2 million NIH STTR Phase II award, we have developed a software platform called Pathway-Guide for the analysis of data from high-throughput microarray and next-generation sequencing experiments. Our next generation product, iPathwayGuide, is a web-based pathway analysis application based on our Impact Analysis method. We are the only company in the industry that includes other crucial factors about the genes in addition to classical statistics. iPathwayGuide includes unique capabilities such modeling SNPs, miRNAs and drugs directly on the pathways and predicting miRNA potentially regulating gene expression in your samples based only on mRNA data. Our vision is to create a platform for multi-omic integration and analysis from a systems biology level.
Advaita Bioinformatics is also working on developing innovative tools for subtyping of diseases and patients. These tools address the classic “responder” vs. “non-responder” problem facing 50% of drugs that reach Phase 3 clinical trials. With our technology, we can identify truly homogeneous populations and the mechanisms that distinguish them from other populations.
Our vision is to:
Our Extraordinary Promise
Our Team Leaders
The Advaita Bioinformatics team is built from a broad range of expertise and backgrounds. We pride ourselves in having the most capable team to deliver the best tools and knowledge for our customers.
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.
Prior to joining Advaita, Dr. Aaron denDekker was a research faculty member in the Department of Surgery at the University of Michigan. He received his PhD in Biochemistry and Molecular Biology from the University of Louisville and did his post-doctoral training at the University of Michigan studying histone modification and transcriptional regulation. Dr. denDekker has published 20+ peer-reviewed research articles and a book chapter focused on epigenetic mechanisms in various diseases.