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From DNA to Protein03:06

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The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...
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Related Experiment Video

Updated: Jul 5, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

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An Encoding Table Corresponding to ASCII Codes for DNA Data Storage and a New Error Correction Method HMSA.

Xuncai Zhang, Fuzhen Zhou

    IEEE Transactions on Nanobioscience
    |January 22, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an ASCII-DNA encoding method for high-density DNA data storage, achieving 1.6 bits/nt. A novel error correction method (HMSA) ensures reliable data recovery, exceeding 96% accuracy.

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    Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA
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    Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA
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    Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA

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    Area of Science:

    • Biotechnology
    • Data Storage
    • Bioinformatics

    Background:

    • DNA storage offers superior capacity, longevity, and energy efficiency compared to conventional media.
    • Standardization of DNA encoding is crucial for reliable data representation and transmission.
    • Existing DNA data storage methods face challenges with encoding density and error correction.

    Purpose of the Study:

    • To develop a standardized ASCII-DNA encoding system for high-density data storage.
    • To propose a novel heuristic-based error correction method (HMSA) for DNA sequences.
    • To enhance the reliability and efficiency of DNA data storage systems.

    Main Methods:

    • Combined ASCII encoding with DNA bases to create an ASCII-DNA encoding table.
    • Developed a heuristic algorithm integrating minimum Hamming distance and multiple sequence alignment for error correction (HMSA).
    • Encoded text, audio, and video data while adhering to GC content and homopolymer constraints.

    Main Results:

    • Achieved an encoding density of 1.4 bits/nt, increasing to 1.6 bits/nt for text-only data by bypassing binary conversion.
    • The HMSA method demonstrated high error correction rates (>96%) for substitution, insertion, deletion, and consecutive errors, even with limited sequencing.
    • Error correction effectiveness improved with increased sequencing depth.

    Conclusions:

    • The ASCII-DNA encoding method provides a standardized and efficient approach to DNA data storage.
    • The HMSA error correction method significantly enhances the reliability of DNA data recovery, applicable across various coding schemes.
    • This research advances DNA data storage technology by improving encoding density and error resilience.