Increase the tick-rate of decision-making with the entirety of therapeutic area biomarker development data FAIRLY organized in a multi-omics data commons.
REVEAL Multi-omics delivers:
- Agility: Scientists get answers in minutes from REVEAL vs. days retrieving data from files, data lakes, and silo’d databases. Data is curated once, creating a single-point-of-truth resource for all. Users “query multiple data sets at one go”.
- Scalability: Incorporate an unlimited number of proprietary and public data sets and reference data without slowing query responsiveness as data volumes grow.
- Extensibility: Add new data types. Deploy any R, Python library functions.
- Cost-effectiveness: Reduce TCO, including operational and data storage costs. We are driven to optimize algorithm performance to increase performance and reduce costs, year over year.
- Reproducibility: Version raw, QA’d, and processed data as well as algorithm versions and machine-learning models. Guaranteed data integrity and security in a transaction safe and secure multi-user environment.
- Scientific Results: REVEAL produced greater support for hypotheses with data from multiple studies.
Multi-Omics > Better Decisions