Nebula Genomics, the blockchain startup that wants to put your entire genome on the blockchain, has declared the rise of $4.3 million up in Series A from Khosla Ventures and other driving tech VC’s such as Arch Venture Partners, Fenbushi Capital, Mayfield, F-Prime Capital Partners, Great Point Ventures, Windham Venture Partners, Hemi Ventures, Mirae Asset, Hikma Ventures and Heartbeat Labs.
Nebula has additionally forged an association with genome sequencing organization Veritas Genetics.
Veritas was the first organizations to sequence the whole human genome for under $1,000 in 2015. It later added all that data to the single click on your cell phone. Both Nebula and Veritas were co-founded by MIT professor and “godfather” of the Human Genome Project, George Church.
The blockchain startup’s association with Veritas will permit the Nebula marketplace or a place where those consenting to share their genetic data can procure Nebula’s digital money called Nebula tokens. It will expand upon the Veritas open-source software platform Arvados. The platform can process and share a large amount of genetic data. As per the organization, this crossover offers protection and security for the physical storage and management of different informational indexes as per local rules and regulations.
“As our own database develops to numerous petabytes, together with the Nebula group we secure the privacy of consumers. We also enable them to benefit from the blockchain-based marketplace Nebula is building,” Veritas CEO Mirza Cifric said in an announcement.
As reported by TechCrunch, the association will work with various academic institutions and industry analysts to give genomic data from individual customers hoping to trade out by sharing their own information, rather than by freely giving it as they may through another genomics organization like 23andMe.
Blockchain startup Nebula Genomics co-founder, Dennis Grishin, included that Nebula’s decentralized and unified architecture will help address privacy concerns and boost data sharing. The goal is to make a data flow that will quicken medical research and catalyze a transformation of healthcare.
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