Reconstruction From Noisy Substrings
This paper studies the problem of encoding messages into sequences which can be uniquely recovered from some noisy observations about their substrings. The observed reads comprise consecutive substrings with some given minimum overlap. This coded reconstruction problem has applications in DNA storage. We consider both single-strand reconstruction codes and multi-strand reconstruction codes, where the message is encoded into a single strand or a set of multiple strands, respectively. Various parameter regimes are studied. New codes are constructed, some of whose rates asymptotically attain the upper bounds.
Authors
- Gennian Ge (ORCID: https://orcid.org/0000-0002-1535-0754)
- Moshe Schwartz (ORCID: https://orcid.org/0000-0002-1449-0026)
- Hengjia Wei (ORCID: https://orcid.org/0000-0001-8136-1489)
Institutions
- Ben-Gurion University of the Negev (IL)
- Xi'an Jiaotong University (CN)
- Capital Normal University (CN)
- McMaster University (CA)
Publication Details
- Journal
- IEEE Transactions on Information Theory
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1109/tit.2024.3454119
- Citations
- 2
- Primary Topic
- Algorithms and Data Compression
- Type
- article
- Field-Weighted Citation Impact
- 0.69
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China