CentoCloud combines the CENTOGENE Biodatabank, the world’s largest real-world data repository for rare and neurodegenerative diseases, with Twist Bioscience’s library preparation and target enrichment capabilities to deliver multiple assays for rare disease diagnosis and analysis.

• Offer our best-selling CentoXome with unmatched clinical diagnostic power in your lab

• Start right away: As an experienced NGS lab, all supported library kits are available from Twist Bioscience, Illumina, Agilent, and IDT

• Best value at lower overall costs

• Variants annotated based on CENTOGENE's unique Biodatabank

Bluebee is a leading provider of high performance genomics solutions, enabling research and clinical labs to substantially reduce cost and time-to-diagnose. Bluebee provides a unique cloud-based accelerated genomics platform to enable fast, efficient and affordable processing of large volumes of genomics data. Genetic analyses are currently undergoing extreme changes as a result of revolutionary developments in next generation DNA sequencing technology. While personalized treatment comes with great promises, routine clinical implementation of whole genome based diagnostics is still faced with major technological and biological challenges: the ever-growing amounts of data generated, the inherent need for faster data processing and deep analytics, and the increasing necessity of flexibility and reliability resulting from the vastness of the application spectrum.

Bluebee is a leading provider of high performance genomics solutions, enabling research and clinical labs to substantially reduce cost and time-to-diagnose. Bluebee provides a unique cloud-based accelerated genomics platform to enable fast, efficient and affordable processing of large volumes of genomics data. Genetic analyses are currently undergoing extreme changes as a result of revolutionary developments in next generation DNA sequencing technology. While personalized treatment comes with great promises, routine clinical implementation of whole genome based diagnostics is still faced with major technological and biological challenges: the ever-growing amounts of data generated, the inherent need for faster data processing and deep analytics, and the increasing necessity of flexibility and reliability resulting from the vastness of the application spectrum.