Embracing Errors Is More Efficient Than Avoiding Them Through Constrained Coding for DNA Data Storage

Autor: Weindel, Franziska, Gimpel, Andreas L., Grass, Robert N., Heckel, Reinhard

DNA is an attractive medium for digital data storage. When data is stored on DNA, errors occur, which makes error-correcting coding techniques critical for reliable DNA data storage. To reduce the errors, a common technique is to include constraints

Externí odkaz: http://arxiv.org/abs/2308.05952

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Perturbed Adaptive Belief Propagation Decoding for High-Density Parity-Check Codes.

Autor: Deng, Li, Liu, Zilong, Guan, Yong Liang, Liu, Xiaobei, Aslam, Chaudhry Adnan, Yu, Xiaoxi, Shi, Zhiping

Publikováno v: IEEE Transactions on Communications; Apr2021, Vol. 69 Issue 4, p2065-2079, 15p

Channel Model with Memory for DNA Data Storage with Nanopore Sequencing

Autor: Elsa Dupraz, Dominique Lavenier, Belaid Hamoum, Laura Conde-Canencia

Publikováno v: ISTC 2021-11th International Symposium on Topics in Coding
ISTC 2021-11th International Symposium on Topics in Coding, Aug 2021, Montreal, Canada. pp.1-5
ISTC
ISTC 2021: 11th International Symposium on Topics in Coding
ISTC 2021: 11th International Symposium on Topics in Coding, Aug 2021, Montreal, Canada. pp.1-5, ⟨10.1109/ISTC49272.2021.9594243⟩

International audience; This paper is dedicated to channel modeling and error-correction coding for DNA data storage with nanopore sequencing. We first propose a novel statistical model for DNA storage, which takes into account the memory within DNA

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75c1663e9dd115f0e982a528afed923c
https://hal-imt-atlantique.archives-ouvertes.fr/hal-03337117