Epigene Labs introduces mCUBE: the multi-omic, multi-source, multi-cancer powerhouse to accelerate precision oncology research and drug development
Designed by cancer scientists for cancer scientists, mCUBE follows the best practices of user-centric design and product development. It offers a modern and intuitive digital space that prioritizes user experience and accessibility.
Harness the power of cloud computing with mCUBE, offering speed, scalability, and reliability for your scientific explorations.
In addition to generating novel research insights, regardless of their background in data science, cancer scientists can use mCUBE to collaborate with experts across their organization. Our platform provides rich yet intuitive interactive reports exportable in various formats.
Safeguard your data through our robust security practices that ensure integrity and confidentiality. Our infrastructure utilizes isolated resources and data compartments to protect against potential threats.
We’ve constructed virtual datasets that are four times larger than existing reference datasets by integrating multiple layers of omic data. Our approach has shown a tenfold increase in the speed at which we can identify new targets suitable for antigen-targeting strategies, applicable not only in multiple myeloma but also in other diseases.
We’ve utilized machine learning to identify a concise list of genes (5 out of 28) that have the potential to become a novel biomarker for lung cancer.
Pharma and biotech companies have seen up to a fourfold increase in the speed of utilizing clinical and omic data for design decisions for early-stage clinical trials.
With over 5 years of AI research, we have developed cutting-edge tools and processes for identifying, curating, and integrating data from millions of sources. This has paved the way for our world-leading secondary analysis capabilities for omic data.
Recent advancements in cancer research have shown that cancer types cannot be limited to specific anatomical sites. Complete molecular definitions are crucial. By exploring multiple anatomical cancer types simultaneously, we are leading the way in defining the future of cancer research.
mCUBE goes beyond genomic data and encompasses all layers of molecular information involved in the central dogma of molecular biology. From genomics and transcriptomics to proteomics and epigenomics, we leave no stone unturned.
mCUBE is driven by state-of-the-art bioinformatics analytics. Our innovation motto is “observe, reproduce, productize, and innovate.” This ensures that we constantly push the boundaries of what is possible in the field.
