Powering Extraordinary Scientists
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.
Let’s Be Extraordinary Together
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.
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.
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"Perturbation analysis is unique to iPathwayGuide as it takes into consideration the position and type of all genes"
Learn from The Medical University of South Carolina"I really like the pathway analysis, especially how easy it is to use, and the figures it generates are easy to publish."
Learn from The University of Chicago"There were many different elements that really made the lab choose iPathwayGuide instead of Ingenuity Pathway Analysis. I think Advaita also offered better customer service.”
Learn from The Barbara Ann Karmanos Cancer Center“Advaita is more cost-effective than competitive products and, for the output, it does save a lot of time"
Learn from NIH – Perinatology Research Branch"... can browse those results and quickly reach the biological conclusions that can be drawn from that experiment. This is the main attraction."
Learn from Columbia University"I used iPathwayGuide to contribute as a co-author to over 20 published research papers while providing analysis results and support for countless others."
Learn from University of Delaware"Advaita iPathwayGuide serves our needs very well, allows for flexibility, and does not cost a huge amount of money. This is an excellent choice for a department like ours.”
Learn from Morgan State University“iPathwayGuide allows me to go through the data quickly, parse out things that are going to be noise, and then really just allow me to identify the most important features of our data sets…"
Learn from Queen’s University, Belfast"Advaita is far superior to anything else I’ve seen. Your data gets uploaded, analyzed on the cloud, and then you can share the results with anyone anywhere on the planet."
Learn from SkinAxis"iPathwayGuide put all these pathways together. It can actually trigger your thinking in different directions that you never thought about it before."
Get Started!
Get in touch with us to schedule a 15-minute call with one of our scientists. This is not a sales call or a demo! This is a discussion that will focus on whether Advaita is a good fit for you.
bioRxiv
International Journal of Molecular Sciences
PLOS ONE
Breast Cancer Research and Treatment
Cancer Medicine
bioRxiv.
bioRxiv.
Cell Biosci
eLife
Research Square
PLOS Genetics
Journal of Investigative Dermatology
Cancer Research
Neuro-Oncology
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
Cells
Sci Rep
Journal of proteomics
Scientific reports
Journal of agricultural and food chemistry
Translational Medicine Reports
Oncotarget
Advanced Biosystems
haematologica
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
Neuroscience
mSphere
Neuroscience
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
Immunity
PloS one
Investigative ophthalmology & visual science
bioRxiv
The FASEB Journal
Genes
Hypertension
Int. J. Mol. Sci.
Disease models & mechanisms
PLoS Pathog
Cellular and Molecular Life Sciences
Development
JCI Insight
Proteomes
Genes
PLOS Biology
Nature
pjmhsonline.com
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
Shock
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
CalTechAuthors.
The Journal of Clinical Investigation
International journal of biological macromolecules.
Frontiers in molecular neuroscience
Cell Report
Neuroscience bulletin
Cell reports
Neuroscience
Endocrinology
Nature Communications
Human molecular genetics
International Journal of Molecular Sciences
BMC Immunology
Genomics, Proteomics & Bioinformatics.
Endocrinology
Plos ONE
Molecular Metabolism
bioRxiv
International Journal of Molecular Sciences
Molecular Metabolism
Frontiers in microbiology
Diabetes
Nutrients
American Journal of Physiology-Renal Physiology
International journal of molecular sciences
bioRxiv
J Cell Biol
PloS one
Cell Stem Cell
bioRxiv
Scientific Reports
Communications Biology
Heliyon
Journal of Allergy and Clinical Immunology
interactive-plus.ru.
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
IEEE
Nanomedicine: Nanotechnology, Biology and Medicine.
PloS one
eLife
Journal of Surgical Research
Trauma Surgery and Acute Care Open
Journal of Surgical Research
Elife
International Journal of Molecular Sciences
Biological Psychiatry
Journal of Trauma and Acute Care Surgery
Archives of Disease in Childhood-Education and Practice
Scientific Reports
Pharmaceutical Research
Drug metabolism and pharmacokinetics
Humana Press
Journal of Cancer
Molecular biology reports
Journal of Bone and Mineral Research
Journal of Structural Biology
Stem Cells and Development
Journal of Orthopaedic Research
bioRxiv
PloS one
Cancer research
Journal of Biological Chemistry
PloS one
PLoS genetics
BMC genomics
Journal of the American Heart Association
Gene
NanoImpact
bioRxiv
Nature Biomedical Engineering
Scientific Reports
PROTEOMICS–Clinical Applications
PloS one
The Journal of clinical investigation
Scientific reports
APL Bioengineering
Experimental Eye Research
Experimental Eye Research
Matrix Biology
Graefe’s Archive for Clinical and Experimental Ophthalmology
Journal of proteomics
Cells
PloS ONE
Environmental Research
Environmental pollution
Proceedings of the National Academy of Sciences
bioRxiv
Frontiers in Endocrinology
Frontiers in Physiology
Plos Biology
Science Advances
Journal of the Endocrine Society
Journal of Endocrinological Investigation
Chemosphere
bioRxiv
PloS one
PLoS biology
Journal of Animal Science.
BioChip Journal
Humana Press
Scientific reports
Journal of Leukocyte Biology
Research Square
Aging (Albany NY)
The Protein Journal
Revista del Centro de Investigacion de la Universidad La Salle
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.
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.
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.
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.
