Abstract: Techniques for storing omics data that indicates long sequences of elements associated with a particular biological molecule include receiving digital omics data comprising over two kilobytes. The digital omics data is split into multiple partitions. The maximum partition size is much less than then a number of elements in a typical instance of the particular biological molecule. Each partition is encrypted. Each encrypted partition is inserted into a corresponding data packet that includes an owner field that uniquely indicates an owner of the omics data. Each data packet is uploaded into a non-centralized, peer-to-peer distributed storage network. Thus, genome data is encrypted and stored in a distributed, scalable, fully decentralized, fast, and highly secure network. The network further provides for decentralized computing, trustless validation of the genomes by way of oracles and trustless genome analysis by third party providers through smart contracts.

Abstract: The present application discloses an image-based computational and genetic framework for creating and using maps of genetic features which can be used to identify genetic features associated with a defined characteristic.