Powering Extraordinary Scientists

Let’s Be Extraordinary Together

Principal Investigators wear many hats. They conceive of the research vision, write grants, write papers, speak on their research, and coordinate a team of collaborators, which may include postdocs, grad students, undergrads, and researchers at other institutions. This is on top of other duties such as teaching and committee work.

Our PIs hunger to make big breakthroughs that will contribute to saving lives. And they need to do this as efficiently as possible with their time. Yet, many life scientists have the sense that they need to master bioinformatics, or worse, learn to code, to get the most out of their data. Not true.

Advaita software empowers life scientists to interpret your own results, freeing you to use your expertise rather than start at the beginning of a new (to you) discipline just to get the most from your research.

Rest easy, let Advaita software take care of the bioinformatics so you can focus on the biology.

pathway analysis software for RNASeq analysis Advaitabio

Multi-Omics Pathway Analysis

From bulk RNA-seq to single cell, from proteomics to epigenetics, our platform delivers powerful insights. Biologists depend on our state-of-the art pathway analysis, gene ontology analysis, upstream regulator predictions, and meta-analysis.

Learn more about iPathwayGuide
variant analysis software AdvaitaBio

Identify & Prioritize Causal Mutations

Annotate and filter VCFs to identify rare, causal, clinically significant variants. Predict effects, impacted pathways and gene ontology terms. Allow customers to explore by sharing the browsable analysis.

Learn more about iVariantGuide
biological analysis software AdvaitaBio

Search Several Databases, All At Once

Find related genes, microRNAs, pathways, biological processes, drugs, diseases, and references. We’ve created google for scientists bringing >108 biological relationships to your fingertips for free.

Learn more about iBioGuide

Extraordinary Customer Experiences

We have earned the trust of principal investigators worldwide. Let them tell you why they use Advaita Bioinformatics software.


Learn from Stanford University

Dr. Linda Yip has been conducting research at Stanford, focusing on the identification and characterization of genes involved in the pathogenesis of Type 1 diabetes. Dr. Yip’s research is extremely important as more that 34.2 million people of all ages or 10.5% of the USA population have been diagnosed with diabetes, which is currently a major health care concern.


Learn from The Medical University of South Carolina

“Interpretation of RNA sequencing data can be very big and complex. It is rather difficult to extract the biological significance of what we just got. I really like the pathway analysis, especially how easy it is to use, and the figures it generates are easy to publish. It is a powerful product that I use often and I publish a lot based on that.”


Learn from The University of Chicago

The research goals of Carole Ober’s laboratory at the University of Chicago are to identify genetic variants that influence gene expression and epigenetic patterns in tissues relevant to complex phenotypes, especially related to asthma and fertility. The Ober lab has maintained a multi-seat license for iPathwayGuide for over 3 years.


Learn from The Barbara Ann Karmanos Cancer Center

Wei Chen works in the Biostatistics and Bioinformatics Core of the Karmanos Cancer Institute, which is also affiliated with Wayne State University. Located in midtown Detroit, it is the only National Cancer Institute (NCI)-designated comprehensive cancer center in metro Detroit and one of just 51 centers of its kind in the United States...


Learn from NIH – Perinatology Research Branch

The Perinatology Research Branch is the only Clinical Branch in the Division of Intramural Research of the National Institutes of Health to focus its research on human pregnancy and unborn children. Using a multidisciplinary approach to study pregnancy complications, the Branch is publishing an average of over 100 peer-reviewed papers per year...


Learn from Columbia University

Richard Friedman is an associate research scientist at the Herbert Irving Comprehensive Cancer Center at Columbia University. His bioinformatics analysis activities support about 25 principal investigators (PIs) in any one year. He has been using Advaita’s iPathwayGuide and its predecessor tools for over 15 years...


Learn from University of Delaware

Dr. Melinda Duncan is a tenured full professor in the University of Delaware Biological Sciences Department. She performs research in the areas of lens and eye development, cataract surgery and wound healing, and innate immunity. Her research group includes 12 people and uses Advaita software platform to understand and interpret their experimental data...


Learn from Morgan State University

Douglas Dluzen, Ph.D., is an Assistant Professor at Morgan State University, a historically black university in downtown Baltimore, Maryland. This public university has added a strong research focus to its long history of educating local and international students. Morgan State is an R2 research university and the premiere public urban research institute in Maryland...


Learn from Queen’s University, Belfast

Gary Hardiman is a Professor, School of Biological Science at Queen's University Belfast. Gary began using Advaita’s iPathwayGuide at the Medical University of South Carolina (MUSC). He knew of Advaita from array work that was done a while back and was impressed with the founder and the company. When he moved back to Ireland, he decided to bring iPathwayGuide with him...


Learn from SkinAxis

SkinAxis is a biotech company that provides advanced testing technology for skin research. The company focuses on testing, measuring, and monitoring active ingredients for, among other things, antiaging, spot removal and hydration. Pathway analysis is essential to the services it provides to its customers in the cosmetics, biotech, pharmaceutical, chemical, and diagnostics industries...

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.


International Journal of Molecular Sciences
Breast Cancer Research and Treatment
Cancer Medicine
Cell Biosci
Research Square
PLOS Genetics
Journal of Investigative Dermatology
Cancer Research
International Journal of Molecular Sciences
Open Chemistry
Tesis Universidad de Almeria
Cell Metabolism
Clinical Cancer Research
Sci Rep

Advanced Pharmaceutical Bulletin
Stem Cell Reports
Journal of Personalized Medicine
Sci Rep
Journal of proteomics
Scientific reports
Journal of agricultural and food chemistry
Translational Medicine Reports
Advanced Biosystems
World journal of gastroenterology
International Journal of Cancer
Cancer discovery
Cell metabolism
Hormones and Cancer
PloS one
International Journal of Cancer
Breast Cancer Research and Treatment

Biol Med
Cancer research
The Journal of Urology
The Journal of clinical investigation
“Increased expression of TRIP13 drives the tumorigenesis of bladder cancer in association with the EGFR signaling pathway.”
Nature communications
Journal of Urology
PLOS Pathogens
Journal of Innate Immunity
Infection and Immunity
Scientific Reports
Cancer Immunology, Immunotherapy
Journal of Perinatal Medicine
Journal of Extracellular Vesicles
JCI Insight
Archives of virology

Frontiers in Immunology
Frontiers in immunology
Frontiers in immunology
Allergy & Rhinology
Proceedings of the National Academy of Sciences
American Journal of Respiratory And Critical Care Medicine
PloS one
Investigative ophthalmology & visual science
The FASEB Journal
Int. J. Mol. Sci.
Disease models & mechanisms
PLoS Pathog
Cellular and Molecular Life Sciences
JCI Insight

PLOS Biology
Molecular Neurobiology
Journal of Neuroendocrinology
Front. Cell Dev. Biol.
BMC Medical Informatics and Decision Making
Front. Aging Neurosci. Conference Abstract: 6th Belgian Brain Congress.
Nucleic acids research
International journal of molecular sciences
Current genomics
Molecular and Cellular Endocrinology
Biological Psychiatry
Neurotoxicology and Teratology
Chemical Research in Toxicology
Journal of Neuroendocrinology
Biological Psychiatry
Nature Communications
Research Square.
Plos ONE
Frontiers in Genetics
Frontiers in Psychiatry
Translational Vision Science & Technology
Journal of the Endocrine Society
Journal of the Endocrine Society
Molecular genetics & Genomic Medicine
Plos ONE
The Journal of Clinical Investigation
International journal of biological macromolecules.
Frontiers in molecular neuroscience
Cell Report
Neuroscience bulletin
Cell reports
Nature Communications
Human molecular genetics
International Journal of Molecular Sciences
BMC Immunology
Genomics, Proteomics & Bioinformatics.
Plos ONE
Molecular Metabolism
International Journal of Molecular Sciences
Molecular Metabolism
Frontiers in microbiology
American Journal of Physiology-Renal Physiology
International journal of molecular sciences
J Cell Biol
PloS one
Cell Stem Cell
Scientific Reports
Communications Biology
Journal of Allergy and Clinical Immunology
Frontiers in Immunology
Frontiers in Immunology
Genome Medicine
American Thoracic Society.
Cancer research
Journal of cellular and molecular medicine
Human Genomics
JCI insight
Journal of Proteomics
Nanomedicine: Nanotechnology, Biology and Medicine.
PloS one
Journal of Surgical Research
Trauma Surgery and Acute Care Open
Journal of Surgical Research

Since we acquired iPathwayGuide, it has become my main analysis tool for signaling pathways. It is both most powerful and among the easiest-to-use software for pathway analysis of gene list obtained from microarray experiments of which I am aware.

Richard Friedman, Columbia University
We tend to use open source tools where we can use them. But the open source tools are not evenly supported, their feature set is sometimes unevenly implemented. And, the licensing model of iPathwayGuide works so much better for the way we work with researchers than any of the commercial competitors in this space. So, it beats both freewar and other commercial products.
Bioinformatics Core Director, R1 Research University

I love using iPathwayGuide for my RNA-seq data analysis. Its extensive knowledge base provides me with accurate results, very quickly. I find the figures to be clear and appealing.

Ian Chu, UT Southwestern

Advaita is far superior to anything else I’ve seen. Your data gets uploaded, gets analyzed up on the cloud, and then you can share the results of that with anyone anywhere on the planet. And that’s very, very nice because it means you’re not hunched over one physical computer in a defined location or you’re not doing it with complex licensing so that other people can see the analysis. For me, that was key.

About Advaita Bioinformatics

Our software tools help principal investigators, core facilities, and enterprise bioinformatics teams analyze gene expression data (e.g. RNA-Seq or microarray) and variant data (e.g. DNA-Seq) to find biomarkers, identify impacted pathways, and pinpoint putative mechanisms. Currently, this frustrating process is slow, unreliable, expensive, and often requires multiple disjointed tools, which then provide irrelevant or incorrect results. While other solutions drop a haystack of results on you, we lead you straight to the needle.

View Publications Citing iPathwayGuide
AdvaitaBio Bioinformatics Customers and Partners