Journal article Open Access

DNA Fountain enables a robust and efficient storage architecture

Erlich, Yaniv; Zielinski, Dina


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  <identifier identifierType="URL">https://zenodo.org/record/889697</identifier>
  <creators>
    <creator>
      <creatorName>Erlich, Yaniv</creatorName>
      <givenName>Yaniv</givenName>
      <familyName>Erlich</familyName>
    </creator>
    <creator>
      <creatorName>Zielinski, Dina</creatorName>
      <givenName>Dina</givenName>
      <familyName>Zielinski</familyName>
    </creator>
  </creators>
  <titles>
    <title>DNA Fountain enables a robust and efficient storage architecture</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <dates>
    <date dateType="Issued">2017-03-02</date>
  </dates>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/889697</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1126/science.aaj2038</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc/4.0/legalcode">Creative Commons Attribution Non Commercial 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">DNA is an attractive medium to store digital information. Here, we report a storage strategy, called DNA Fountain, that is highly robust and approaches the information capacity per nucleotide. Using our approach, we stored a full computer operating system, movie, and other files with a total of 2.14×10^6 bytes in DNA oligos and perfectly retrieved the information from a sequencing coverage equivalent of a single tile of Illumina sequencing. We also tested a process that can allow 2.18×10^15 retrievals using the original DNA sample and were able to perfectly decode the data. Finally, we explored the limit of our architecture in terms of bytes per molecules and obtained a perfect retrieval from a density of 215Petabyte/gram of DNA, orders of magnitudes higher than previous techniques.</description>
  </descriptions>
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