DNA Data Encoding With Fountain Codes for Error Recovery
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Solution Overview
Problem
Existing computing systems face challenges in efficiently encoding and decoding data for storage and transmission, particularly in formats that allow for error correction and recovery, especially in the context of genetic materials like DNA/RNA.
Innovation Solution
A computing system utilizing fountain codes to segment data into blocks, generate seed data, and synthesize polynucleotide strands for encoding and decoding data in genetic materials, incorporating error correction mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If data is encoded in genetic materials for storage, then data retention duration is improved, but data integrity and error correction become more difficult
Solution Approach 1:
The patent segments data into multiple data blocks, each independently encoded into separate polynucleotide strands. This segmentation allows individual blocks to be recovered even if others are damaged, improving data integrity while maintaining long-term storage capability. Each segment can be independently verified and reconstructed.
Solution Approach 2:
The patent incorporates error correction codes and metadata into the data structure before encoding into genetic materials. This preliminary action prepares the data for potential errors during storage and retrieval, enabling automatic detection and correction without requiring external intervention, thus maintaining both long-term retention and data integrity.
2Reliability
If complex encoding schemes are used for error correction, then data reliability is improved, but device complexity increases
Solution Approach 1:
The patent uses fountain codes as an intermediary encoding scheme that provides robust error correction through a mathematically elegant approach. The encoding process generates redundant data packets that can be systematically decoded, providing high reliability without requiring complex hardware or multiple processing steps. The intermediary code structure simplifies the overall system architecture.
Solution Approach 2:
The patent employs parameter-based encoding where data is transformed using mathematical parameters and algebraic structures. This approach allows for flexible error correction capabilities through parameter adjustment rather than complex structural changes, maintaining system simplicity while achieving high reliability through mathematical properties of the encoding scheme.
3Reliability
If data is segmented into multiple blocks with metadata, then error recovery capability is improved, but encoding process time increases
Solution Approach 1:
The patent segments data into manageable blocks with compact metadata, enabling parallel processing during encoding. Each segment can be encoded independently and simultaneously, reducing total encoding time while maintaining strong error recovery capabilities through the distributed structure of multiple segments.
Solution Approach 2:
The patent generates a sufficient number of encoded data packets beyond the minimum required for reconstruction. This excessive action provides multiple redundant pathways for error recovery, allowing the system to tolerate more errors without requiring complex recovery procedures, thus balancing encoding time with robust error recovery capability.
Data Source
AI summary
Methods, systems, and apparatuses to encode data for storage in genetic materials. For example, a computing system may segment user data into a plurality of data blocks and generate seed data characterizing a plurality of fountain code seeds. Additionally, the computing system may, for each data block, implement a set of operations that generate one or more data packets. In some instances, the set of operations may include, for each of the plurality of fountain code seeds, determining a bit value and corresponding metaCode value and determining which of the fountain code seeds has a metaCode value of the bit value that matches a value of the bit position identified in the metadata. Moreover, the computing system may, for each data packet, cause an implementation of a second set of operations that synthesize a polynucleotide strand in accordance with at least bit values of the corresponding data packet.