Improved Coding over Sets for DNA-Based Data Storage

Hengjia Wei; Moshe Schwartz

doi:10.1109/TIT.2021.3119584

Improved Coding over Sets for DNA-Based Data Storage

Hengjia Wei, Moshe Schwartz

Department of Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Error-correcting codes over sets, with applications to DNA storage, are studied. The DNA-storage channel receives a set of sequences, and produces a corrupted version of the set, including sequence loss, symbol substitution, symbol insertion/deletion, and limited-magnitude errors in symbols. Various parameter regimes are studied. New bounds on code parameters are provided, which improve upon known bounds. New codes are constructed, at times matching the bounds up to lower-order terms or small constant factors.

Original language	English
Pages (from-to)	118-129
Number of pages	12
Journal	IEEE Transactions on Information Theory
Volume	68
Issue number	1
DOIs	https://doi.org/10.1109/TIT.2021.3119584
State	Published - 13 Oct 2021

Keywords

DNA storage
Error-correcting codes
coding over sets

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Library and Information Sciences

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10.1109/TIT.2021.3119584

Cite this

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AB - Error-correcting codes over sets, with applications to DNA storage, are studied. The DNA-storage channel receives a set of sequences, and produces a corrupted version of the set, including sequence loss, symbol substitution, symbol insertion/deletion, and limited-magnitude errors in symbols. Various parameter regimes are studied. New bounds on code parameters are provided, which improve upon known bounds. New codes are constructed, at times matching the bounds up to lower-order terms or small constant factors.

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Improved Coding over Sets for DNA-Based Data Storage

Abstract

Keywords

ASJC Scopus subject areas

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