Cited by 278DNA and Biological ComputingAlgorithms and Data CompressionMolecular Communication and Nanonetworks

DNA-Based Storage: Trends and Methods

Open access
Yazdi, S. M. Hossein Tabatabaei, Kiah, Han Mao, Garcia-Ruiz, Eva, Ma, Jian, Zhao, Huimin, Milenkovic, Olgica·2015·IEEE Transactions on Molecular, Biological and Multi-Scale Communications

Abstract

We provide an overview of current approaches to DNA-based storage system design and of accompanying synthesis, sequencing and editing methods. We also introduce and analyze a suite of new constrained coding schemes for both archival and random access DNA storage channels. The analytic contribution of our work is the construction and design of sequences over discrete alphabets that avoid pre-specified address patterns, have balanced base content, and exhibit other relevant substring constraints. These schemes adapt the stored signals to the DNA medium and thereby reduce the inherent error-rate of the system.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tmbmc.2016.2537305

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Next-generation sequencing methods enable reading individual molecules and thus using DNA as a source of random number generation.

    “Nowadays, next-generation sequencing methods offer remarkable throughput18–20 and enable us to read individual molecules and thus use DNA as a source of random number generation.”

    From DNA synthesis for true random number generation (2020) · cites this paper as [18]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 87 · Cited by 278

Research works printed but not linked: 3

  1. S. C. Schuster, "Next-generation sequencing transforms today's biology," Nature methods, vol. 5, no. 1, pp. 16-18, 2008.
  2. V. Levenshtein, "Decoding automata, invariant with respect to the initial state," Problemy Kibernet, vol. 12, pp. 125-136, 1964.
  3. R. Varshamov and G. Tenenholtz, "A code for correcting a single asymmetric error," Automatica i Telemekhanika, vol. 26, no. 2, pp. 288- 292, 1965.

Authors
Yazdi, S. M. H. T., Kiah, H. M., Garcia-Ruiz, E., Ma, J., Zhao, H., & Milenkovic, O.
Affiliations
  • University of Illinois Urbana-Champaign (US)
  • Nanyang Technological University (SG)
Venue
IEEE Transactions on Molecular, Biological and Multi-Scale Communications
Published
2015-09
Volume
1
Issue
3
Pages
230-248
ISSN
  • 2332-7804 (ISSN-L)
  • 2372-2061
OpenAlex
W1682729512
Cited by
278
References
87
Citations by year
2026: 33 · 2025: 30 · 2024: 37 · 2023: 28 · 2022: 28 · 2021: 31 · 2020: 30 · 2019: 19 · 2018: 20 · 2017: 14 · 2016: 7 · 2015: 1
FWCI
6.08
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Molecular Biological and Multi-Scale Communications (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • NSF STC Class 2010 CCF (0939370)
  • Strategic Research Initiative (SRI)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Biological Computing
  • Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
  • Physical Sciences › Engineering › Biomedical Engineering › Molecular Communication and Nanonetworks
Keywords
DNA data storage, constrained coding, DNA synthesis, DNA sequencing, DNA editing, archival storage, error rate reduction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review