Index-Based Concatenated Codes for the Multi-Draw DNA Storage Channel

Lorenz Welter, Issam Maarouf, Andreas Lenz, Antonia Wachter-Zeh, Eirik Rosnes, Alexandre Graell I. Amat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We consider error-correcting coding for DNA-based storage. We model the DNA storage channel as a multi-draw IDS channel where the input data is chunked into M short DNA strands, which are copied a random number of times, and the channel outputs a random selection of N noisy DNA strands. The retrieved DNA strands are prone to insertion, deletion, and substitution (IDS) errors. We propose an index-based concatenated coding scheme consisting of the concatenation of an outer code, an index code, and an inner synchronization code, where the latter two tackle IDS errors. We further propose a mismatched joint index-synchronization code maximum a posteriori probability decoder with optional clustering to infer symbolwise a posteriori probabilities for the outer decoder. We compute achievable information rates for the outer code and present Monte-Carlo simulations for information-outage probabilities and frame error rates on synthetic and experimental data, respectively.

Original languageEnglish
Title of host publication2023 IEEE Information Theory Workshop, ITW 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages383-388
Number of pages6
ISBN (Electronic)9798350301496
DOIs
StatePublished - 2023
Event2023 IEEE Information Theory Workshop, ITW 2023 - Saint-Malo, France
Duration: 23 Apr 202328 Apr 2023

Publication series

Name2023 IEEE Information Theory Workshop, ITW 2023

Conference

Conference2023 IEEE Information Theory Workshop, ITW 2023
Country/TerritoryFrance
CitySaint-Malo
Period23/04/2328/04/23

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