Unsatisfied with the usual options? Demand Advaita’s Extraordinary Quality & Ease
“The ultimate purpose of life science experiments is to produce biological knowledge not numbers.”
Sorin Draghici, Ph.D., Advaita’s Founder
Your omics data is valuable, as is your time. You are involved in the study and understanding of disease and/or the discovery of molecules and treatments. You want to take advantage of the most advanced data analytics, AI, and/or modelling.
Core facilities, service providers, enterprise bioinformatics teams, and researchers come to us because they are not satisfied with the insights generated or the ease of use of their bioinformatics software.
Come to Advaita if you seek software that you can trust, with quality, accuracy, and an extensive and always growing knowledgebase. Come to Advaita if you need usability and flexibility in licensing.
See why we have earned the trust of scientists worldwide. We guarantee you will get value from your investment in Advaita software. Learn more about Our Extraordinary Promise.
“…a highly renowned collaborator proclaim[ed] I had given him the Bioinformatics analysis he had been hoping to get for 20 years or so. My aim is to provide a set of testable hypotheses to clients, not simply a list of genes. iPathwayGuide fits that bill extremely well in my opinion.”
– Dr. Ben Harrison, University of Louisville – Bioinformatics Core
“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, Researcher, UT Southwestern
“My students can probably take five datasets, get them uploaded, and run within an hour. That is productivity.”
– Doug Dluzen, Morgan State University (read more)
“And Advaita will very, very quickly get you into the crux of what’s going on…So, it does tell a story. And that is an essential capability.”
– Gary Hardiman, Queen’s University Belfast (read more)
Each of our customers uses one or more of the following products to address their individual challenges.
Multi-Omics Pathway Analysis
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.