Advaita Bioinformatics helps 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.
Who We Serve
What You Get
Our proprietary analysis pinpoints the impacted pathways, with fewer false positives by considering the position and role of all genes on each pathway, as well as the direction and type of all their interactions.
Get a sophisticated and complete analysis of your experiment at a cost much lower than any other solution, (including “free”) be it do-it-yourself or off-the-shelf.
Get the answers you are looking for while you enjoy a cup of coffee. A complete, multi-dimensional analysis will be ready for you 15 minutes after you upload your data.
According to a recent paper in Nature Methods, most pathway analysis tools are outdated and only capture 25% of the known biological processes and pathways. Our knowledge base is updated regularly to make sure you have the full picture.
High impact journals require excruciating details to ensure results are reproducible. Our software automatically tracks the source and version of each piece of information used in any analysis.
Explore your results in real-time, from anywhere, in a highly secure manner. Share interactive analyses with your collaborators at the click of a button. Print an automatically-generated report including publication-ready figures and results, as well as full methods and references.
Our customers are world-renowned experts who trust us to help solve their toughest problems.
You, too, can be among the elite scientists who rely on us.
Each of our customers uses one or more of the following products to address their individual challenges.
Import your RNA-Seq data and identify significant pathways and mechanisms
without all the noise found
in other approaches.
Import your VCF file and identify causal variants and biological
impact in minutes leveraging a systems biology approach.
Google for Scientists!
28,353,480 references, 7,705,042 interactions, and 401,213 supporting experiments at your fingertips for free.