Marker Guess & Check Plus (MGC+): An Efficient Short Blocklength Code for Random Edit Errors

Motivated by DNA-based data storage, we focus on the design of short blocklength codes for correcting random edits, i.e., deletions, insertions, and substitutions. Building on the recently introduced Guess & Check Plus (GC+) code, we propose Marker-GC+ (MGC+), which inserts periodic markers and leverages a marker-aided decoding algorithm to reduce complexity and enhance error correction capability. Our decoder combines trellis-based offset estimation with an informed guessing strategy to achieve these gains. Simulations demonstrate that MGC+ achieves higher code rates, lower decoding times, and improved reliability compared to existing codes.

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Publication Details

Published
2025-08-18
DOI
https://doi.org/10.1109/istc65386.2025.11154528
Citations
1
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.81
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article

Marker Guess & Check Plus (MGC+): An Efficient Short Blocklength Code for Random Edit Errors

Marc Antonini, Serge Kas Hanna, Ramy Khabbaz
1 citations
DNA and Biological Computing
0.81
article

Marker Guess & Check Plus (MGC+): An Efficient Short Blocklength Code for Random Edit Errors

Marc Antonini, Serge Kas Hanna, Ramy Khabbaz
article en
1 citations

Abstract

Motivated by DNA-based data storage, we focus on the design of short blocklength codes for correcting random edits, i.e., deletions, insertions, and substitutions. Building on the recently introduced Guess & Check Plus (GC+) code, we propose Marker-GC+ (MGC+), which inserts periodic markers and leverages a marker-aided decoding algorithm to reduce complexity and enhance error correction capability. Our decoder combines trellis-based offset estimation with an informed guessing strategy to achieve these gains. Simulations demonstrate that MGC+ achieves higher code rates, lower decoding times, and improved reliability compared to existing codes.

Centre National de la Recherche Scientifique (FR), Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis (FR)
Openalex Percentile: Top 24%
DNA and Biological Computing
0.81
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