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Communication Dans Un Congrès Année : 2021

Robust image coding on synthetic DNA: Reducing sequencing noise with inpainting

Eva Gil San Antonio
  • Fonction : Auteur
  • PersonId : 1087731
Mattia Piretti
  • Fonction : Auteur
  • PersonId : 1087732
Melpomeni Dimopoulou
Marc Antonini

Résumé

The aggressive growth of digital data threatens to exceed the capacity of conventional storage devices. The need for new means to store digital information has brought great interest in novel solutions as it is DNA, whose biological properties allow the storage of information at a high density and preserve it without any information loss for hundreds of years when stored under specific conditions. Despite being a promising solution, DNA storage faces two major obstacles: the large cost of synthesis and the high error rate introduced during sequencing. While most of the works focus on adding redundancy aiming for effective error correction, this work combines noise resistance to minimize the impact of the errors in the decoded data and post-processing to further improve the quality of the decoding.
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Dates et versions

hal-03100971 , version 1 (06-01-2021)

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  • HAL Id : hal-03100971 , version 1

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Eva Gil San Antonio, Mattia Piretti, Melpomeni Dimopoulou, Marc Antonini. Robust image coding on synthetic DNA: Reducing sequencing noise with inpainting. ICPR, Jan 2021, Milan, Italy. ⟨hal-03100971⟩
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