Storing and analyzing a genome on a blockchain - Genome Biology

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Storing and analyzing a genome on a blockchain - Genome Biology
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Blockchain not just for bitcoin. It can secure and store genomes too yale

]. To overcome the challenges described above, we developed novel data structures based on nested database indexing, file-format modifications, and compression techniques with the open-source blockchain API MultiChain. We made use of their “data stream” feature, which allows users to create multiple key-value, time-series, or identity databases that can be used for data sharing, time-stamping, and encrypted archiving . We provide two modules.

Because the process of pushing the data into a blockchain is done once but querying and analyzing the data is a continuous process, we focused on optimizing the data storage towards faster querying/analysis with multiple levels of indexing schemes. This is different than the current blockchain genomic data storage options introduced in private industry, where the data storage is optimized, hence providing no option for querying and analyzing the data.

Next, we considered how best to configure data storage in SAMchain. The naive way to store data in a bitcoin-like blockchain would be to append small amounts of data to each transaction using OP_RETURN, a script opcode allowing the sender to send a small amount of data with their transaction. The OP_RETURN data are mined into a block along with the rest of the transaction.

The naive way to store data in a MultiChain stream would be to push all the data to a single stream, and then query from it. However, the query algorithm must check each item to determine if it matches the queried position or range of positions. Were each genomic read defined by a single point position, we would not have this problem; we would simply store point positions as keys.

It is notoriously difficult to store large amounts of data in a blockchain, due to network latency and storage redundancy []. Thus, to store raw genomic data on-chain, we first needed to manipulate the information content for efficient storage. Whereas a SAM file stores a read’s sequence and the quality string of the read, SAMchain stores only the difference between a read and a reference genome.

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